Peter Stone's Selected Publications

• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •

Classified by Funding Source

• NSF • AFOSR • AFRL • ARL • FLI • ONR • IBM • DARPA • FHWA • TXDOT • Fulbright • Guggenheim • Intel • Raytheon • Lockheed Martin • Toyota • ATT • Alexander von Humboldt Foundation • Bosch • GM • Unspecified •

NSF

• Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles.
  Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu.
  In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
  Project website
  Details     BibTeX     Download: [pdf] (3.5MB )  

• Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System.
  Keya Ghonasgi, Reuth Mirsky, Adrian M Haith, Peter Stone, and Ashish D Deshpande.
  In Proceedings of the 35th International Conference on Intelligent Robots and Systems (IROS), October 2022.
  Details     BibTeX     Download: [pdf] (5.4MB )  

• Quantifying Human Rationality in Ad-hoc Teamwork.
  Yair Hanina, Reuth Mirsky, William Macke, and Peter Stone.
  In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), May 2022.
  Details     BibTeX     Download: [pdf] (404.2kB )  

• Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
  Eddy Hudson, Garrett Warnell, Faraz Torabi, and Peter Stone.
  In International Conference on Robotics and Automation (ICRA), May 2022.
  Presentation Video
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset Of Demonstrations For Social Navigation.
  Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone.
  Robotics and Automation Letters (RA-L), 2022, 7:11807–14, October 2022.
  Dataset; Poster; Video Presentation
  Details     BibTeX     Download: [pdf] (4.2MB )  

• VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics.
  Haresh Karnan, Kavan Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, and Joydeep Biswas.
  In International Conference on Intelligent Robots and Systems, 2022, October 2022.
  Details     BibTeX     Download: [pdf] (3.0MB )  

• VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation.
  Haresh Karnan, Garrett Warnell, Xuesu Xiao, and Peter Stone.
  In International Conference on Robotics and Automation, 2022, May 2022.
  Poster, Video
  Details     BibTeX     Download: [pdf] (1.5MB )  

• Adversarial Imitation Learning from Video using a State Observer.
  Haresh Karnan, Garrett Warnell, Faraz Torabi, and Peter Stone.
  In International Conference on Robotics and Automation, 2022, May 2022.
  Video
  Details     BibTeX     Download: [pdf] (933.2kB )  

• Effective Mutation Rate Adaptation through Group Elite Selection.
  Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone.
  In Proceedings of the Genetic and Evolutionary Computation Conference, July 2022.
  Details     BibTeX     Download: [pdf] (9.7MB )  

• Continual Learning and Private Unlearning.
  Bo Liu, Qiang Liu, and Peter Stone.
  In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLA), August 2022.
  Details     BibTeX     Download: [pdf] (440.4kB )  

• UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions.
  Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, and Peter Stone.
  In Rachid Alami, Joydeep Biswas, Maya Cakmak, and Oliver Obst, editors, RoboCup 2021: Robot World Cup XXIV, pp. 314–26, Springer International Publishing, 2022.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2021
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Task Factorization in Curriculum Learning.
  Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone.
  In Decision Awareness in Reinforcement Learning (DARL) workshop t the39th International Conference on Machine Learning (ICML), July 2022.
  recorded presentation
  Details     BibTeX     Download: [pdf] (1011.6kB )  

• Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer.
  Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, and Peter Stone.
  In Proceedings of the RoboCup Symposium, 2022, July 2022.
  Details     BibTeX     Download: [pdf] (556.2kB )  

• Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings.
  Kingsley Nweye, Bo Liu, Nagy Zoltan, and Peter Stone.
  Journal of Energy and AI, 2022, September 2022.
  Details     BibTeX     Download: [pdf] (5.9MB )  

• A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects.
  Shahaf Shperberg, Bo Liu, Allessandro Allievi, and Peter Stone.
  In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLA), August 2022.
  Details     BibTeX     Download: [pdf] (8.9MB )  

• Dynamic Sparse Training for Deep Reinforcement Learning.
  Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.
  In Proceedings of the 31st International Joint Conference on Artificial Intelligence, July 2022.
  arXiv version with the appendix
  Details     BibTeX     Download: [pdf] (3.7MB )  [slides.pptx] (16.7MB )  

• Causal Dynamics Learning for Task-Independent State Abstraction.
  Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, and Peter Stone.
  In Proceedings of the 39th International Conference on Machine Learning (ICML2022), July 2022.
  recorded presentation
  Details     BibTeX     Download: [pdf] (4.2MB )  [slides.pdf] (4.0MB )  [poster.pdf] (1.6MB )  

• Model-Based Meta Automatic Curriculum Learning.
  Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yulin Zhan, Yuqian Jiang, Bo Liu, and Peter Stone.
  In Decision Awareness in Reinforcement Learning (DARL) workshop t the39th International Conference on Machine Learning (ICML), July 2022.
  recorded presentation
  Details     BibTeX     Download: [pdf] (880.3kB )  

• Visually Grounded Task and Motion Planning for Mobile Manipulation.
  Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, and Shiqi Zhang.
  In International Conference on Robotics and Automation (ICRA), May 2022.
  Project page
  Code
  Details     BibTeX     Download: [pdf] (3.4MB )  

• Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction.
  Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, and Peter Stone.
  In Proceedings of the Adaptive and Learning Agents Workshop (ALA), May 2022.
  Video presentation
  Details     BibTeX     Download: [pdf] (573.9kB )  [slides.pdf] (1.4MB )  

• Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation.
  Yifeng Zhu, Peter Stone, and Yuke Zhu.
  IEEE Robotics and Automation Letters (RA-L), 7:4126–33, April 2022.
  Project page
  Code
  Details     BibTeX     Download: [pdf] (9.3MB )  

• Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization.
  Michael Albert, Vincent Conitzer, Giuseppe Lopomo, and Peter Stone.
  Operations Research, March 2021.
  Details     BibTeX     Download: [pdf] (692.5kB )  

• Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
  Roberto Capobianco, Varun Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer Fox, Lauren Meyers, Peter R. Wurman, and Peter Stone.
  The Journal of Artificial Intelligence Research (JAIR), 71:953–92, August 2021.
  Contains material that was previously published in an AAMAS 2021 paper and a AAAI 2020 Fall Symposium paper.
  Article available from JAIR website.
  Simulator source code.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Scalable Multiagent Driving Policies For Reducing Traffic Congestion.
  Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone.
  In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021.
  Project page, with videos
  Details     BibTeX     Download: [pdf] (1.4MB )  [slides.pptx] (1.5MB )  

• Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy.
  Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, and Matthew E. Taylor.
  Neural Computing and Applications, May 2021.
  Details     BibTeX     Download: [pdf] (2.2MB )  

• Adversarial Intrinsic Motivation for Reinforcement Learning.
  Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone.
  In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021.
  slides and video presentation
  Details     BibTeX     Download: [pdf] (5.1MB )  

• Capturing Skill State in Curriculum Learning for Human Skill Acquisition.
  Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, and Ashish D. Deshpande.
  In International Conference on Intelligent Robots and Systems (IROS), September 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Machine versus Human Attention in Deep Reinforcement Learning Tasks.
  Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Mary Hayhoe, Dana Ballard, and Peter Stone.
  In Conference on Neural Information Processing Systems (NeurIPS, 2021, December 2021.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Grounded Action Transformation for Sim-to-Real Reinforcement Learning.
  Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, and Peter Stone.
  Special Issue on Reinforcement Learning for Real Life, Machine Learning, 2021, May 2021.
  Details     BibTeX     Download: [pdf] (3.0MB )  

• Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy.
  Josiah P. Hanna, Scott Niekum, and Peter Stone.
  Machine Learning (MLJ), 110:1267–1317, May 2021.
  Details     BibTeX     Download: [pdf] (3.7MB )  

• Incorporating Gaze into Social Navigation.
  Justin Hart, Reuth Mirsky, Xuesu Xiao, and Peter Stone.
  In Robotics: Science and Systems Workshop on Social Robot Navigation (RSS), July 2021.
  Details     BibTeX     Download: [pdf] (4.8MB )  [slides.pdf] (3.5MB )  

• Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation.
  Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin Hart, and Peter Stone.
  In Proceedings of the International Conference on Robotics and Automation (ICRA 202), May 2021.
  Details     BibTeX     Download: [pdf] (5.7MB )  

• RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning.
  Eddy Hudson, Garrett Warnell, and Peter Stone.
  In Autonomous Robots and Multirobot Systems Workshop at the 20th International Conference onAutonomous Agents and Multiagent Systems (AAMAS 2021), May 2021.
  Details     BibTeX     Download: [pdf] (393.0kB )  

• Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle.
  Yu-Sian Jiang, Garrett Warnell, and Peter Stone.
  In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Feb 2021.
  Details     BibTeX     Download: [pdf] (911.3kB )  [poster.pdf] (1.1MB )  

• Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks.
  Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone.
  In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.
  Details     BibTeX     Download: [pdf] (1.8MB )  [slides.pdf] (1.8MB )  

• Reward (Mis)design for Autonomous Driving.
  W Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone.
  arXiv preprint arXiv:2104.13906, 2021.
  Paper webpage
  Details     BibTeX     Download: [pdf] (1.2MB )  

• A Lifelong Learning Approach to Mobile Robot Navigation.
  Bo Liu, Xuesu Xiao, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), 6(2), April 2021.
  Presented at IEEE International Conference on Robotics and Automation (ICRA),
  Video presentation
  Details     BibTeX     Download: [pdf] (3.6MB )  

• Conflict-Averse Gradient Descent for Multi-task learning.
  Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu.
  In Conference on Neural Information Processing Systems (NeurIPS), 2021, December 2021.
  slides and 9-minute presentation
  github repository
  Details     BibTeX     Download: [pdf] (9.7MB )  

• Team Orienteering Coverage Planning with Uncertain Reward.
  Bo Liu, Xuesu Xiao, and Peter Stone.
  In International Conference on Intelligent Robots and Systems (IROS), 2021, September 2021.
  Details     BibTeX     Download: [pdf] (3.9MB )  

• Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition.
  Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, and Animashree Anandkumar.
  In Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 (ICML), July 2021.
  Details     BibTeX     Download: [pdf] (2.2MB )  [poster.pdf] (1.1MB )  

• Expected Value of Communication for Planning in Ad Hoc Teamwork.
  William Macke, Reuth Mirsky, and Peter Stone.
  In Proceedings of the 35th Conference on Artificial Intelligence (AAAI), February 2021.
  Details     BibTeX     Download: [pdf] (869.9kB )  [slides.pdf] (2.3MB )  [poster.pdf] (1.8MB )  

• Is the Cerebellum a Model-Based Reinforcement Learning Agent?.
  Bharath Masetty, Reuth Mirsky, Ashish D. Deshpande, Michael Mauk, and Peter Stone.
  In Adaptive and Learning Agents Workshop at AAMAS, May 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (594.9kB )  [slides.pdf] (1.5MB )  

• Intelligent Disobedience and AI Rebel Agents in Assistive Robotics.
  Reuth Mirsky and Peter Stone.
  In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS), November 2021.
  Details     BibTeX     Download: [pdf] (194.4kB )  

• The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care.
  Reuth Mirsky and Peter Stone.
  In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), May 2021.
  Details     BibTeX     Download: [pdf] (679.2kB )  

• Reasoning about Human Behavior in Ad Hoc Teamwork.
  Jennifer Suriadinata, William Macke, Reuth Mirsky, and Peter Stone.
  In Adaptive and learning Agents Workshop at AAMAS 2021, May 2021.
  Video Presentation
  Details     BibTeX     Download: [pdf] (926.2kB )  

• DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (742.7kB )  

• APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.
  Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), October 2021.
  5-minute Video Presentation; 15-minute Video Presentation
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pdf] (2.7MB )  

• From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.
  Zizhao Wang, Xuesu Xiao, Alexander J Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, and Peter Stone.
  In Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021), October 2021.
  1-minute Video Summary; 15-minute Video Presentation
  Details     BibTeX     Download: [pdf] (2.9MB )  [slides.pdf] (2.7MB )  

• APPLI: Adaptive Planner Parameter Learning From Interventions.
  Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), May 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (4.2MB )  

• Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning.
  Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, and Peter Stone.
  In Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2021), October 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (4.5MB )  

• APPLR: Adaptive Planner Parameter Learning from Reinforcement.
  Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, and Peter Stone.
  In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), June 2021.
  Video presentation
  Project webpage
  Details     BibTeX     Download: [pdf] (3.4MB )  [slides.pptx] (27.4MB )  

• A Scavenger Hunt for Service Robots.
  Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone.
  In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), May 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (1.5MB )  

• Sequential Online Chore Division for Autonomous Vehicle Convoy Formation.
  Harel Yedidsion, Shani Alkoby, and Peter Stone.
  Technical Report arXiv e-Prints 2104.04159, arXiv, 2021.
  arXiv
  Details     BibTeX     Download: [pdf] (478.9kB )  

• Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks.
  Ruohan Zhang, Faraz Torabi, Garrett Warnell, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, 35(31), June 2021.
  official online version
  Details     BibTeX     Download: [pdf] (3.8MB )  

• An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.
  Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone.
  In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020), December 2020.
  Poster
  Details     BibTeX     Download: [pdf] (1.3MB )  

• Stochastic Grounded Action Transformation for Robot Learning in Simulation.
  Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone.
  In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 2020.
  11-minute video presentation.
  Details     BibTeX     Download: [pdf] (1.9MB )  

• Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning.
  Ishan Durugkar, Elad Liebman, and Peter Stone.
  In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), July 2020.
  15-minute presentation
  Details     BibTeX     Download: [pdf] (3.9MB )  

• Using Human-Inspired Signals to Disambiguate Navigational Intentions.
  Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone.
  In Proceedings of the 12th International Conference on Social Robotics (ICSR), November 2020.
  Video presentation
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Reinforced Grounded Action Transformation for Sim-to-Real Transfer.
  Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, and Peter Stone.
  In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 2020.
  14-minute video presentation.
  Details     BibTeX     Download: [pdf] (506.6kB )  

• The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation.
  Shih-Yun Lo, Shiqi Zhang, and Peter Stone.
  The Journal of Artificial Intelligence Research (JAIR), 67, October 2020.
  Contains material that was previously published in an AAMAS-18 paper (awarded the Best Robotics Paper Award at AAMAS 2018)
  Also available from JAIR website
  Details     BibTeX     Download: [pdf] (4.0MB )  

• Learning and Reasoning for Robot Dialog and Navigation Tasks.
  Keting Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen.
  In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 107–117, Association for Computational Linguistics, 1st virtual meeting, July 2020.
  Official version from ACL Digital Library, including a link to the conference presentation
  Details     BibTeX     Download: [pdf] (3.6MB )  

• A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork.
  Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, and Peter Stone.
  In Proceedings of the 29th International Joint Conference on Artificial Intelligence, July 2020.
  15-minute presentation
  Details     BibTeX     Download: [pdf] (1.2MB )  [slides.pdf] (1.4MB )  

• Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.
  Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, and Peter Stone.
  Journal of Machine Learning Research, 21(181):1–50, 2020.
  Details     BibTeX     Download: [pdf] (1.4MB )  

• Generalizing Curricula for Reinforcement Learning.
  Sanmit Narvekar and Peter Stone.
  In 4th Lifelong Learning Workshop at the International Conference on Machine Learning (ICML 2020), July 2020.
  Details     BibTeX     Download: [pdf] (330.4kB )  [slides.pdf] (3.8MB )  

• Learning to Improve Multi-Robot Hallway Navigation.
  Jin-Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, and Peter Stone.
  In Proceedings of the 4th Conference on Robot Learning (CoRL), November 2020.
  Video presentation
  Details     BibTeX     Download: [pdf] (1.3MB )  

• RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.
  Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), 5:6262–69, October 2020.
  Video of the experiments; 13-minute video presentation.
  Details     BibTeX     Download: [pdf] (405.1kB )  [slides.pptx] (115.4MB )  

• Reducing Sampling Error in Batch Temporal Difference Learning.
  Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone.
  In Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020.
  The paper and talk is available from the ICML 2020 virtual conference page.
  Details     BibTeX     Download: [pdf] (738.4kB )  [slides.pdf] (5.2MB )  

• On Sampling Error in Batch Action-Value Prediction Algorithms.
  Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone.
  In In the Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), December 2020., December 2020.
  5-minute Video Presentation
  Details     BibTeX     Download: [pdf] (327.2kB )  

• Deep R-Learning for Continual Area Sweeping.
  Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), October 2020.
  1-minute video demonstration; 13-minute Video presentation.
  Details     BibTeX     Download: [pdf] (374.2kB )  [slides.pdf] (1.1MB )  

• Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog.
  Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney.
  The Journal of Artificial Intelligence Research (JAIR), 67, February 2020.
  Details     BibTeX     Download: [pdf] (4.0MB )  

• Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks.
  Lemeng Wu, Bo Liu, Peter Stone, and Qiang Liu.
  In Advances in Neural Information Processing Systems 34 (2020), December 2020.
  Details     BibTeX     Download: [pdf] (8.1MB )  [slides.pdf] (744.8kB )  

• APPLD: Adaptive Planner Parameter Learning from Demonstration.
  Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), June 2020.
  Presented at International Conference on Intelligent Robots and Systems ({IROS})\\ 5-minute Video presentation; 15-minute Video presentation
  Project webpage
  Details     BibTeX     Download: [pdf] (2.2MB )  [slides.pdf] (21.1MB )  

• Ad hoc Teamwork with Behavior Switching Agents.
  Manish Ravula, Shani Alkobi and Peter Stone.
  In International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (350.4kB )  

• Importance Sampling Policy Evaluation with an Estimated Behavior Policy.
  Josiah Hanna, Scott Niekum, and Peter Stone.
  In Proceedings of the 36th International Conference on Machine Learning (ICML), June 2019.
  Details     BibTeX     Download: [pdf] (2.7MB )  [slides.pdf] (4.0MB )  

• Reducing Sampling Error in Policy Gradient Learning.
  Josiah Hanna and Peter Stone.
  In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2019.
  This paper contains material that was previously presented at the 2018 NeurIPS Deep Reinforcement Learning Workshop.
  Details     BibTeX     Download: [pdf] (1.5MB )  [slides.pdf] (3.1MB )  

• Selecting Compliant Agents for Opt-in Micro-Tolling.
  Josiah Hanna, Guni Sharon, Stephen Boyles, and Peter Stone.
  In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), January 2019.
  Details     BibTeX     Download: [pdf] (2.2MB )  

• Task Planning in Robotics: an Empirical Comparison of PDDL- and ASP-based Systems.
  Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, and Peter Stone.
  Frontiers of Information Technology and Electronic Engineering, 20(3):363–373, Springer, March 2019.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (412.1kB )  

• Multi-Robot Planning with Conflicts and Synergies.
  Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, and Peter Stone.
  Autonomous Robots, Springer, March 2019.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (2.0MB )  

• Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots.
  Yuqian Jiang, Fangkai Yang, Shiqi Zhang, and Peter Stone.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 2019.
  Details     BibTeX     Download: [pdf] (925.2kB )  

• Open-World Reasoning for Service Robots.
  Yuqian Jiang, Nick Walker, Justin Hart, and Peter Stone.
  In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), July 2019.
  Accompanying video
  Details     BibTeX     Download: [pdf] (813.5kB )  

• The right music at the right time: adaptive personalized playlists based on sequence modeling.
  Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone.
  Management Information Systems Quarterly, 43(3):765–786, Society for Information Management and The Management Information Systems Research Center, 2019.
  Available from publisher's website.
  Details     BibTeX     Download: [pdf] (4.0MB )  

• UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions.
  Patrick MacAlpine, Faraz Torabi, Brahma Pavse, and Peter Stone.
  In Stephan Chalup, Tim Niemueller, Jackrit Suthakorn, and Mary-Anne Williams, editors, RoboCup 2019: Robot World Cup XXIII, Lecture Notes in Artificial Intelligence, pp. 540–52, Springer, 2019.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2019
  Details     BibTeX     Download: [pdf] (233.2kB )  [ps] (3.8MB )  

• UT Austin Villa: RoboCup 2018 3D Simulation League Champions.
  Patrick MacAlpine, Faraz Torabi, Brahma Pavse, John Sigmon, and Peter Stone.
  In Dirk Holz, Katie Genter, Maarouf Saad, and Oskar von Stryk, editors, RoboCup 2018: Robot Soccer World Cup XXII, Lecture Notes in Artificial Intelligence, pp. 462–75, Springer, 2019.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2018
  Details     BibTeX     Download: [pdf] (486.2kB )  [ps] (6.0MB )  

• Learning Curriculum Policies for Reinforcement Learning.
  Sanmit Narvekar and Peter Stone.
  In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2019.
  Details     BibTeX     Download: [pdf] (953.0kB )  [slides.pdf] (5.6MB )  

• Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report.
  Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin Hart, Luis Sentis, and Peter Stone.
  In AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments (AI-HRI 2019), November 2019.
  Details     BibTeX     Download: [pdf] (4.5MB )  

• Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks.
  Guni Sharon, Stephen D. Boyles, Shani Alkoby, and Peter Stone.
  In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), May 2019.
  Details     BibTeX     Download: [pdf] (1.7MB )  [slides.pptx] (6.5MB )  

• Agents teaching agents: a survey on inter-agent transfer learning.
  Felipe Leno Da Silva, Garrett Warnell, Anna Helena Reali Costa, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, Dec 2019.
  Official version from JAAMAS
  Details     BibTeX     Download: [pdf] (572.4kB )  

• Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games.
  Felipe Leno Da Silva, Anna Helena Reali Costa, and Peter Stone.
  In Proceedings of the 8th Brazilian Conference on Intelligent Systems (BRACIS), October 2019.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Improving Grounded Natural Language Understanding through Human-Robot Dialog.
  Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond Mooney.
  In Proceedings of the International Conference on Robotics and Automation (ICRA 2019), May 2019.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Imitation Learning from Video by Leveraging Proprioception.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pptx] (20.3MB )  

• Recent Advances in Imitation Learning from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (157.4kB )  [slides.pptx] (45.5MB )  

• Generative Adversarial Imitation from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (1.0MB )  

• Sample-efficient Adversarial Imitation Learning from Observation.
  Faraz Torabi, Sean Geiger, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (6.1MB )  

• Desiderata for Planning Systems in General-Purpose Service Robots.
  Nick Walker, Yuqian Jiang, Maya Cakmak, and Peter Stone.
  In Proceedings of the ICAPS Workshop on Planning and Robotics (PlanRob 2019), July 2019.
  Details     BibTeX     Download: [pdf] (651.5kB )  

• Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance.
  Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin Hart, Peter Stone, and Raymond Mooney.
  In International Conference on Social Robotics (ICSR), pp. 133–143, November 2019.
  Details     BibTeX     Download: [pdf] (958.6kB )  

• Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
  Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (471.1kB )  [slides.pdf] (1.2MB )  

• Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems.
  Stefano Albrecht and Peter Stone.
  Artificial Intelligence, 258:66–95, Elsevier, 2018.
  Available from the publisher's webpage and arXiv
  Details     BibTeX     Download: [pdf] (670.7kB )  

• Multi-modal Predicate Identification using Dynamically Learned Robot Controllers.
  Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, and Peter Stone.
  In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), July 2018.
  Details     BibTeX     Download: [pdf] (2.5MB )  

• DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation.
  Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, and Yeng Chai Soh.
  In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2018.
  Details     BibTeX     Download: [pdf] (2.4MB )  [ps] (5.9MB )  

• Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability.
  Rolando Fernandez, Nathan John, Sean Kirmani, Justin Hart, Jivko Sinapov, and Peter Stone.
  In Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), August 2018.
  Details     BibTeX     Download: [pdf] (8.5MB )  [slides.pdf] (983.4kB )  

• Towards a Data Efficient Off-Policy Policy Gradient.
  Josiah Hanna and Peter Stone.
  In AAAI Spring Symposium on Data Efficient Reinforcement Learning, March 2018.
  Details     BibTeX     Download: [pdf] (345.4kB )  

• PRISM: Pose Registration for Integrated Semantic Mapping.
  Justin W. Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, and Peter Stone.
  In Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018.
  Details     BibTeX     Download: [pdf] (4.4MB )  

• Inferring User Intention using Gaze in Vehicles.
  Yu-Sian Jiang, Garrett Warnell, and Peter Stone.
  In The 20th ACM International Conference on Multimodal Interaction (ICMI), October 2018.
  Based on an earlier version presented at the AAAI PAIR workshop
  Details     BibTeX     Download: [pdf] (2.6MB )  

• A Study of Human-Robot Copilot Systems for En-Route Destination Changing.
  Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, and Peter Stone.
  In Proceedings of the 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2018), August 2018.
  Available from RO-MAN
  Details     BibTeX     Download: [pdf] (5.8MB )  [slides.pptx] (32.7MB )  

• Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas --- Final Report.
  Kara Kockelman, Stephen Boyles, Purser Sturgeon, Christian Claudel, Lisa Loftus-Otway, Wendy Wagner, Duncan Stewart, Guni Sharon, Michael Albert, Peter Stone, Josiah Hanna, Yantao Huang, Krishna Murthy Gurumurthy, Dongxu He, Abduallah Mohamed, Rahul Patel, Tian Lei, Michele Simoni, and Sadegh Yarmohammadisatri.
  Technical Report 0-6838-3, The University of Texas at Austin Center for Transportation Research, 2018.
  Available online
  Details     BibTeX     Download: (unavailable)

• A Stitch in Time - Autonomous Model Management via Reinforcement Learning.
  Elad Liebman, Eric Zavesky, and Peter Stone.
  In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), July 2018.
  Details     BibTeX     Download: [pdf] (1.7MB )  

• On the Impact of Music on Decision Making in Cooperative Tasks.
  Elad Liebman, Corey N. White, and Peter Stone.
  In 19th International Society for Music Information retrieval Conference (ISMIR), September 2018.
  Details     BibTeX     Download: [pdf] (258.5kB )  

• Overlapping Layered Learning.
  Patrick MacAlpine and Peter Stone.
  Artificial Intelligence, 254:21–43, Elsevier, January 2018.
  Official version from Publisher's Webpage
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/overlappingLayeredLearning.html
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (3.8MB )  

• UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions.
  Patrick MacAlpine and Peter Stone.
  In Claude Sammut, Oliver Obst, Flavio Tonidandel, and Hidehisa Akyama, editors, RoboCup 2017: Robot Soccer World Cup XXI, Lecture Notes in Artificial Intelligence, pp. 473–85, Springer, 2018.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2017
  Details     BibTeX     Download: [pdf] (973.5kB )  [ps] (19.4MB )  

• State Abstraction Synthesis for Discrete Models of Continuous Domains.
  Jacob Menashe and Peter Stone.
  In Data Efficient Reinforcement Learning Workshop at AAAI Spring Symposium, March 2018.
  Details     BibTeX     Download: [pdf] (538.3kB )  [ps] (5.3MB )  

• Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity Inspired by Network Science.
  Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, and Antonio Liotta.
  Nature Communications, 9(2383), June 2018.
  Official version from Publisher's Webpage.
  Details     BibTeX     Download: [pdf] (1.5MB )  

• Deterministic Implementations for Reproducibility in Deep Reinforcement Learning.
  Prabhat Nagarajan, Garrett Warnell, and Peter Stone.
  In 2nd Reproducibility in Machine Learning Workshop at ICML 2018, July 2018.
  Details     BibTeX     Download: [pdf] (6.6MB )  

• Variety Wins: Soccer-Playing Robots and Infant Walking.
  Ori Ossmy, Justine E. Hoch, Patrick MacAlpine, Shohan Hasan, Peter Stone, and Karen E. Adolph.
  Frontiers in Neurorobotics, 12:19, 2018.
  Available from the publisher's webpage
  Details     BibTeX     Download: [pdf] (2.9MB )  

• Learning a Policy for Opportunistic Active Learning.
  Aishwarya Padmakumar, Peter Stone, and Raymond J. Mooney.
  In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-18), Brussels, Belgium, November 2018.
  Details     BibTeX     Download: [pdf] (394.3kB )  

• Marginal Cost Pricing for System Optimal Traffic Assignment with Recourse under Supply-Side Uncertainty.
  Tarun Rambha, Stephen D. Boyles, Avinash Unnikrishnan, and Peter Stone.
  Transportation Research Part B: Methodological, 110:104–21, 2018.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Traffic Optimization For a Mixture of Self-interested and Compliant Agents.
  Guni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, and Peter Stone.
  In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2018.
  Details     BibTeX     Download: [pdf] (1002.7kB )  [ps] (5.2MB )  [slides.pptx] (11.1MB )  

• Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions.
  Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, and Peter Stone.
  In Proceedings of the 32nd Conference on Artificial Intelligence (AAAI), February 2018.
  Details     BibTeX     Download: [pdf] (1.4MB )  

• Deep TAMER: Interactive agent shaping in high-dimensional state spaces.
  Garrett Warnell, Nicholas Waytowich, Vernon Lawhern, and Peter Stone.
  In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, February 2018.
  Details     BibTeX     Download: [pdf] (1.6MB )  [slides.pptx] (16.2MB )  

• Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms?.
  Michael Albert, Vincent Conitzer, and Peter Stone.
  In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS-17), May 2017.
  Details     BibTeX     Download: [pdf] (348.6kB )  [slides.pdf] (2.8MB )  

• Automated Design of Robust Mechanisms.
  Michael Albert, Vincent Conitzer, and Peter Stone.
  In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), Feb 2017.
  Details     BibTeX     Download: [pdf] (366.4kB )  [slides.pdf] (2.7MB )  

• Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial.
  Stefano Albrecht, Somchaya Liemhetcharat, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, 31(4):765–66, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (304.3kB )  

• Reasoning about Hypothetical Agent Behaviours and their Parameters.
  Stefano Albrecht and Peter Stone.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-17), May 2017.
  Available from IFAAMAS and from ACM
  Details     BibTeX     Download: [pdf] (608.2kB )  [slides.pdf] (1.2MB )  

• TD Learning with Constrained Gradients.
  Ishan Durugkar and Peter Stone.
  In Proceedings of the Deep Reinforcement Learning Symposium, NIPS 2017, December 2017.
  Details     BibTeX     Download: [pdf] (381.4kB )  

• Three Years of the RoboCup Standard Platform League Drop-in Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition.
  Katie Genter, Tim Laue, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems (JAAMAS), 31(4):790–820, Springer, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (1.2MB )  

• CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression.
  Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, and Peter Stone.
  In Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '17), July 2017.
  Details     BibTeX     Download: [pdf] (241.6kB )  

• Data-Efficient Policy Evaluation Through Behavior Policy Search.
  Josiah Hanna, Philip Thomas, Peter Stone, and Scott Niekum.
  In Proceedings of the 34th International Conference on Machine Learning (ICML), August 2017.
  Details     BibTeX     Download: [pdf] (1.2MB )  [slides.pdf] (1.1MB )  

• Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
  Josiah Hanna, Peter Stone, and Scott Niekum.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
  Details     BibTeX     Download: [pdf] (663.8kB )  [ps] (572.6kB )  [slides.pdf] (1.3MB )  

• Grounded Action Transformation for Robot Learning in Simulation.
  Josiah Hanna and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (1.3MB )  [slides.pdf] (1.3MB )  

• Machine Learning Capabilities of a Simulated Cerebellum.
  Matthew Hausknecht, Wen-Ke Li, Michael Mauk, and Peter Stone.
  "IEEE Transactions on Neural Networks and Learning Systems", 28(3):510–22, March 2017.
  Details     BibTeX     Download: [pdf] (1.1MB )  

• Intrinsically motivated model learning for developing curious robots.
  Todd Hester and Peter Stone.
  Artificial Intelligence, 247:170–86, June 2017.
  from journal website.
  Details     BibTeX     Download: [pdf] (1.4MB )  

• BWIBots: A platform for bridging the gap between AI and human--robot interaction research.
  Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond Mooney, and Peter Stone.
  The International Journal of Robotics Research, 36(5--7):635–59, 2017.
  Accompanying videos at https://youtu.be/2UJG4-ejVww
  Details     BibTeX     Download: [pdf] (4.4MB )  

• Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests.
  Piyush Khandelwal and Peter Stone.
  In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
  Details     BibTeX     Download: [pdf] (1.8MB )  

• An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs --- Final Report.
  Kara Kockelman, Stephen Boyles, Peter Stone, Dan Fagnant, Rahul Patel, Michael W. Levin, Guni Sharon, Michele Simoni, Michael Albert, Hagen Fritz, Rebecca Hutchinson, Prateek Bansal, Gelb Domnenko, Pavle Bujanovic, Bumsik Kim, Elaham Pourrahmani, Sudesh Agrawal, Tianxin Li, Josiah Hanna, Aqshems Nichols, and Jia Li.
  Technical Report 0-6847-1, The University of Texas at Austin Center for Transportation Research, 2017.
  Available online
  Details     BibTeX     Download: (unavailable)

• Designing Better Playlists with Monte Carlo Tree Search.
  Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, and Peter Stone.
  In Proceedings of the Twenty-Ninth Conference On Innovative Applications Of Artificial Intelligence (IAAI-17), February 2017.
  Details     BibTeX     Download: [pdf] (377.0kB )  

• Iterative Human-Aware Mobile Robot Navigation.
  Shih-Yun Lo, Benito Fernandez, and Peter Stone.
  In Proceedings of the Human-Centered Robotics workshop of the 13th International Conference on Robotics: Science and System (RSS), July 2017.
  Details     BibTeX     Download: [pdf] (2.0MB )  

• Leveraging Commonsense Reasoning and Multimodal Perception for Robot Spoken Dialog Systems.
  Dongcai Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2017.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges.
  Patrick MacAlpine and Peter Stone.
  In Gita Sukthankar and Juan A. Rodriguez-Aguilar, editors, Autonomous Agents and Multiagent Systems, AAMAS 2017 Workshops, Best Papers, Lecture Notes in Artificial Intelligence, pp. 168–86, Springer International Publishing, 2017.
  Details     BibTeX     Download: [pdf] (518.7kB )  [ps] (2.6MB )  [slides.pdf] (45.5MB )  

• UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions.
  Patrick MacAlpine and Peter Stone.
  In Sven Behnke, Daniel D. Lee, Sanem Sariel, and Raymond Sheh, editors, RoboCup 2016: Robot Soccer World Cup XX, Lecture Notes in Artificial Intelligence, pp. 515–28, Springer, 2017.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2016
  Details     BibTeX     Download: [pdf] (555.8kB )  [ps] (14.4MB )  

• Prioritized Role Assignment for Marking.
  Patrick MacAlpine and Peter Stone.
  In Sven Behnke, Daniel D. Lee, Sanem Sariel, and Raymond Sheh, editors, RoboCup 2016: Robot Soccer World Cup XX, Lecture Notes in Artificial Intelligence, pp. 306–18, Springer Verlag, Berlin, 2017.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2016/html/marking.html
  Details     BibTeX     Download: [pdf] (1.7MB )  [ps] (13.5MB )  [slides.pdf] (157.3MB )  

• UT Austin Villa RoboCup 3D Simulation Base Code Release.
  Patrick MacAlpine and Peter Stone.
  In Sven Behnke, Daniel D. Lee, Sanem Sariel, and Raymond Sheh, editors, RoboCup 2016: Robot Soccer World Cup XX, Lecture Notes in Artificial Intelligence, pp. 135–43, Springer Verlag, Berlin, 2017.
  Code release at https://github.com/LARG/utaustinvilla3d
  Details     BibTeX     Download: [pdf] (394.2kB )  [ps] (2.1MB )  [slides.pdf] (107.1MB )  

• Fast and Precise Black and White Ball Detection for RoboCup Soccer.
  Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, and Peter Stone.
  In RoboCup-2017: Robot Soccer World Cup XXI, pp. 45–59, Springer, July 2017.
  Details     BibTeX     Download: [pdf] (254.2kB )  [ps] (716.1kB )  [slides.pdf] (1.5MB )  

• Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning.
  Sanmit Narvekar, Jivko Sinapov, and Peter Stone.
  In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), August 2017.
  Details     BibTeX     Download: [pdf] (826.2kB )  [slides.pdf] (5.8MB )  

• Network-wide Adaptive Tolling for Connected and Automated vehicles.
  Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone.
  Transportation Research Part C, 84:142–157, September 2017.
  Transportation Research Part C.
  Audio slides.
  Contains material that was previously published in an AAMAS-17 paper.
  Details     BibTeX     Download: [pdf] (2.8MB )  [ps] (4.2MB )  

• A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections.
  Guni Sharon and Peter Stone.
  In Gita Sukthankar and Juan A. Rodriguez-Aguilar, editors, Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Best Papers, Lecture Notes in Artificial Intelligence, pp. 151–67, Springer International Publishing, 2017.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (7.1MB )  [slides.pptx] (140.9MB )  

• Automatic Curriculum Graph Generation for Reinforcement Learning Agents.
  Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (2.0MB )  

• Opportunistic Active Learning for Grounding Natural Language Descriptions.
  Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, and Raymond J. Mooney.
  In Proceedings of the 1st Annual Conference on Robot Learning (CoRL-17), pp. 67–76, PMLR, Mountain View, California, November 2017.
  Details     BibTeX     Download: [pdf] (1.2MB )  

• Multirobot Symbolic Planning under Temporal Uncertainty.
  Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS), May 2017.
  Accompanying videos at https://youtu.be/ADbH3sppLHQ
  Details     BibTeX     Download: [pdf] (2.3MB )  

• Dynamically Constructed (PO)MDPs for Adaptive Robot Planning.
  Shiqi Zhang, Piyush Khandelwal, and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Integrated Commonsense Reasoning and Probabilistic Planning.
  Shiqi Zhang and Peter Stone.
  In Proceedings of 2017 ICAPS Workshop on Planning and Robotics, June 2017.
  Details     BibTeX     Download: [pdf] (495.4kB )  

• Autonomous Intersection Management for Semi-Autonomous Vehicles.
  Tsz-Chiu Au, Shun Zhang, and Peter Stone.
  In Dusan Teodorovi'c, editors, Handbook of Transportation, pp. 88–104, Routledge, 2016.
  Details     BibTeX     Download: [pdf] (2.6MB )  

• Making Friends on the Fly: Cooperating with New Teammates.
  Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone.
  Artificial Intelligence, October 2016.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (917.9kB )  

• State Aggregation through Reasoning in Answer Set Programming.
  Ginevra Gaudioso, Matteo Leonetti, and Peter Stone.
  In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR 16), July 2016.
  Details     BibTeX     Download: [pdf] (776.6kB )  

• Ad Hoc Teamwork Behaviors for Influencing a Flock.
  Katie Genter and Peter Stone.
  Acta Polytechnica, 56(1), 2016.
  Details     BibTeX     Download: [pdf] (421.5kB )  [ps] (1.6MB )  

• Adding Influencing Agents to a Flock.
  Katie Genter and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16), May 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (4.5MB )  [slides.pdf] (433.7kB )  

• Collaboration in Ad Hoc Teamwork: Ambiguous Tasks, Roles, and Communication.
  Jonathan Grizou, Samuel Barrett, Manuel Lopes, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (339.0kB )  

• Minimum Cost Matching for Autonomous Carsharing.
  Josiah P. Hanna, Michael Albert, Donna Chen, and Peter Stone.
  In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), June 2016.
  Details     BibTeX     Download: [pdf] (117.5kB )  [ps] (355.2kB )  [slides.pdf] (4.7MB )  

• Deep Reinforcement Learning in Parameterized Action Space.
  Matthew Hausknecht and Peter Stone.
  In Proceedings of the International Conference on Learning Representations (ICLR), May 2016.
  Details     BibTeX     Download: [pdf] (468.3kB )  

• Grounded Semantic Networks for Learning Shared Communication Protocols.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning, NIPS Workshop, December 2016.
  Details     BibTeX     Download: [pdf] (899.9kB )  

• On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning: Frontiers and Challenges, IJCAI Workshop, July 2016.
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork.
  Matthew Hausknecht, Prannoy Mupparaju, Sandeep Subramanian, Shivaram Kalyanakrishnan, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (253.9kB )  

• Deep Imitation Learning for Parameterized Action Spaces.
  Matthew Hausknecht, Yilun Chen, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (483.4kB )  

• Bin-Based Estimation of the Amount of Effort for Embedded Software Development Projects with Support Vector Machines.
  Kazunori Iwata, Elad Liebman, Peter Stone, Toyoshiro Nakashima, Yoshiyuki Anan, and Naohiro Ishii.
  In Roger Lee, editors, Computer and Information Science 2015, Studies in Computational Intelligence, Springer Verlag, Berlin, 2016.
  Details     BibTeX     Download: [pdf] (807.5kB )  

• On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search.
  Piyush Khandelwal, Elad Liebman, Scott Niekum, and Peter Stone.
  In Proceedings of The 33rd International Conference on Machine Learning, pp. 1319–1328, June 2016.
  Details     BibTeX     Download: [pdf] (1.3MB )  [slides.pdf] (1.7MB )  

• Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas --- Final Report.
  Kara Kockelman, Stephen Boyles, Paul Avery, Christian Claudel, Lisa Loftus-Otway, Daniel Fagnant, Prateek Bansal, Michael Levin, Yong Zhao, Jun Liu, Lewis Clements, Wendy Wagner, Duncan Stewart, Guni Sharon, Michael Albert, Peter Stone, Josiah Hanna, Rahul Patel, Hagen Fritz, Tejas Choudhary, Tianxin Li, Aqshems Nichols, Kapil Sharma, and Michele Simoni.
  Technical Report 0-6838-2, The University of Texas at Austin Center for Transportation Research, 2016.
  Available online
  Details     BibTeX     Download: (unavailable)

• A synthesis of automated planning and reinforcement learning for efficient, robust decision-making.
  Matteo Leonetti, Luca Iocchi, and Peter Stone.
  Artificial Intelligence, 241:103 – 130, September 2016.
  Details     BibTeX     Download: [pdf] (3.2MB )  

• A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer.
  David L. Leottau, Javier Ruiz-del-Solar, Patrick MacAlpine, and Peter Stone.
  In Luis Almeida, Jianmin Ji, Gerald Steinbauer, and Sean Luke, editors, RoboCup-2015: Robot Soccer World Cup XIX, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2016.
  Details     BibTeX     Download: [pdf] (625.8kB )  

• Impact of Music on Decision Making in Quantitative Tasks.
  Elad Liebman, Peter Stone, and Corey N. White.
  In 17th International Society for Music Information retrieval Conference (ISMIR), August 2016.
  Details     BibTeX     Download: [pdf] (591.1kB )  [slides.pdf] (678.6kB )  

• UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions.
  Patrick MacAlpine, Josiah Hanna, Jason Liang, and Peter Stone.
  In Luis Almeida, Jianmin Ji, Gerald Steinbauer, and Sean Luke, editors, RoboCup-2015: Robot Soccer World Cup XIX, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2016.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2015
  Details     BibTeX     Download: [pdf] (790.2kB )  [ps] (7.2MB )  

• Adaptation of Surrogate Tasks for Bipedal Walk Optimization.
  Patrick MacAlpine, Elad Liebman, and Peter Stone.
  In GECCO Surrogate-Assisted Evolutionary Optimisation (SAEOpt) Workshop, July 2016.
  Details     BibTeX     Download: [pdf] (172.1kB )  [ps] (739.5kB )  [slides.pdf] (165.0MB )  

• Source Task Creation for Curriculum Learning.
  Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016.
  Details     BibTeX     Download: [pdf] (630.0kB )  [slides.pdf] (10.2MB )  

• Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors.
  Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, and Peter Stone.
  In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), July 2016.
  Details     BibTeX     Download: [pdf] (6.6MB )  [slides.pdf] (5.2MB )  

• Learning Multi-Modal Grounded Linguistic Semantics by Playing I Spy.
  Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, and Raymond Mooney.
  In Proceedings of the 25th international joint conference on Artificial Intelligence (IJCAI), July 2016.
  Demo Video
  Details     BibTeX     Download: [pdf] (3.1MB )  [slides.pdf] (1.0MB )  

• An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
  Details     BibTeX     Download: [pdf] (11.9MB )  

• Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), February 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  

• Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots.
  Shiqi Zhang, Dongcai Lu, Xiaoping Chen, and Peter Stone.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2016.
  Details     BibTeX     Download: [pdf] (326.5kB )  

• Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork.
  Samuel Barrett and Peter Stone.
  In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 2015.
  Details     BibTeX     Download: [pdf] (993.2kB )  [ps] (2.8MB )  

• Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League.
  Mike Depinet, Patrick MacAlpine, and Peter Stone.
  In Reinaldo A. C. Bianchi, H. Levent Akin, Subramanian Ramamoorthy, and Komei Sugiura, editors, RoboCup-2014: Robot Soccer World Cup XVIII, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2015.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2014/html/learningFromObservation.html
  Details     BibTeX     Download: [pdf] (905.3kB )  [ps] (42.3MB )  

• When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
  Fei Fang, Peter Stone, and Milind Tambe.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2015.
  Winner of Computational Sustainability Track Outstanding Paper Award at IJCAI 2015
  Details     BibTeX     Download: [pdf] (456.7kB )  [ps] (983.9kB )  [slides.pptx] (6.2MB )  

• Determining Placements of Influencing Agents in a Flock.
  Katie Genter, Shun Zhang, and Peter Stone.
  In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), May 2015.
  Details     BibTeX     Download: [pdf] (426.7kB )  [ps] (1.4MB )  [slides.pdf] (1.6MB )  

• Robot-centric Activity Recognition 'in the Wild'.
  Ilaria Gori, Jivko Sinapov, Priyanka Khante, Peter Stone, and J.K. Aggarwal.
  In Proceedings of the International Conference on Social Robotics (ICSR), October 2015.
  Details     BibTeX     Download: [pdf] (361.3kB )  

• The Impact of Determinism on Learning Atari 2600 Games.
  Matthew Hausknecht and Peter Stone.
  In AAAI Workshop on Learning for General Competency in Video Games, January 2015.
  Details     BibTeX     Download: [pdf] (65.1kB )  

• Deep Recurrent Q-Learning for Partially Observable MDPs.
  Matthew Hausknecht and Peter Stone.
  In AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents (AAAI-SDMIA15), November 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [slides.pdf] (3.8MB )  

• Leading the Way: An Efficient Multi-robot Guidance System.
  Piyush Khandelwal, Samuel Barrett, and Peter Stone.
  In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Accompanying videos at https://www.youtube.com/watch?v=os1BjHgM5ao&feature=youtu.be
  Details     BibTeX     Download: [pdf] (694.2kB )  

• Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance.
  W. Bradley Knox and Peter Stone.
  Artificial Intelligence, 225(), August 2015.
  Artificial Intelligence
  Contains material that was previously published in a IUI 2013 paper and a RoMan 2012 paper that was nominated as a CoTeSys Cognitive Robotics BEST PAPER AWARD FINALIST.
  Details     BibTeX     Download: [pdf] (3.9MB )  

• Representative Selection in Nonmetric Datasets.
  Elad Liebman, Benny Chor, and Peter Stone.
  "Applied Artificial Intelligence", 29:807–838, 2015.
  Details     BibTeX     Download: [pdf] (846.3kB )  

• How Music Alters Decision Making: Impact of Music Stimuli on Emotional Classification.
  Elad Liebman, Peter Stone, and Corey N. White.
  In 16th International Society for Music Information retrieval Conference (ISMIR), October 2015.
  Details     BibTeX     Download: [pdf] (832.6kB )  [ps] (6.3MB )  [slides.pdf] (2.0MB )  

• DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
  Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (38.4MB )  [slides.pdf] (2.6MB )  

• UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions.
  Patrick MacAlpine, Mike Depinet, Jason Liang, and Peter Stone.
  In Reinaldo A. C. Bianchi, H. Levent Akin, Subramanian Ramamoorthy, and Komei Sugiura, editors, RoboCup-2014: Robot Soccer World Cup XVIII, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2015.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2014
  Details     BibTeX     Download: [pdf] (235.7kB )  [ps] (1.9MB )  

• UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning.
  Patrick MacAlpine, Mike Depinet, and Peter Stone.
  In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp. 2842–48, January 2015.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2014/html/overlappingLayeredLearning.html
  Details     BibTeX     Download: [pdf] (714.7kB )  [ps] (2.5MB )  [slides.pdf] (105.3MB )  

• SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning.
  Patrick MacAlpine, Eric Price, and Peter Stone.
  In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January 2015.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2013/html/scram.html
  Details     BibTeX     Download: [pdf] (260.3kB )  [ps] (676.5kB )  [slides.pdf] (40.3MB )  

• Monte Carlo Hierarchical Model Learning.
  Jacob Menashe and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (693.2kB )  [ps] (18.4MB )  

• Learning Inter-Task Transferability in the Absence of Target Task Samples.
  Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone.
  In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015.
  Details     BibTeX     Download: [pdf] (337.2kB )  

• Learning to Interpret Natural Language Commands through Human-Robot Dialog.
  Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone.
  In Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI), July 2015.
  Demo
  Details     BibTeX     Download: [pdf] (1.4MB )  [slides.pdf] (1.1MB )  

• Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy.
  Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone.
  In Proceedings of the 13th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR), September 2015.
  Demo Video
  Details     BibTeX     Download: [pdf] (2.6MB )  [slides.pdf] (1.3MB )  

• CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot.
  Shiqi Zhang and Peter Stone.
  In Proceedings of the 29th Conference on Artificial Intelligence (AAAI), January 2015.
  Details     BibTeX     Download: [pdf] (306.0kB )  [ps] (1.5MB )  

• Modeling Uncertainty in Leading Ad Hoc Teams.
  Noa Agmon, Samuel Barrett, and Peter Stone.
  In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014.
  Details     BibTeX     Download: [pdf] (255.6kB )  [ps] (1.7MB )  

• Communicating with Unknown Teammates.
  Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, and Peter Stone.
  In Proceedings of the Twenty-First European Conference on Artificial Intelligence, August 2014.
  Details     BibTeX     Download: [pdf] (215.9kB )  [ps] (2.6MB )  [slides.pdf] (1.4MB )  

• Influencing a Flock via Ad Hoc Teamwork.
  Katie Genter and Peter Stone.
  In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), September 2014.
  Details     BibTeX     Download: [pdf] (358.4kB )  [ps] (1.4MB )  [slides.pdf] (15.3MB )  

• A Neuroevolution Approach to General Atari Game Playing.
  Matthew Hausknecht, Joel Lehman, Risto Miikkulainen, and Peter Stone.
  IEEE Transactions on Computational Intelligence and AI in Games, 2014.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (3.1MB )  

• Planning in Action Language $\cal BC$ while Learning Action Costs for Mobile Robots.
  Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone.
  In International Conference on Automated Planning and Scheduling (ICAPS), June 2014.
  Details     BibTeX     Download: [pdf] (2.5MB )  [ps] (6.0MB )  

• Multi-robot Human Guidance using Topological Graphs.
  Piyush Khandelwal and Peter Stone.
  In AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS), March 2014.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (7.6MB )  

• The RoboCup 2013 Drop-In Player Challenges: Experiments in Ad Hoc Teamwork.
  Patrick MacAlpine, Katie Genter, Samuel Barrett, and Peter Stone.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2014.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2013/html/dropin.html
  Details     BibTeX     Download: [pdf] (491.0kB )  [ps] (4.0MB )  [slides.pdf] (30.4MB )  

• TacTex'13: A Champion Adaptive Power Trading Agent.
  Daniel Urieli and Peter Stone.
  In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014), July 2014.
  Details     BibTeX     Download: [pdf] (257.8kB )  [ps] (7.3MB )  [slides.pdf] (3.8MB )  

• Planning in Answer Set Programming while Learning Action Costs for Mobile Robots.
  Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, and Peter Stone.
  In AAAI Spring 2014 Symposium on Knowledge Representation and Reasoning in Robotics (AAAI-SSS), March 2014.
  Details     BibTeX     Download: [pdf] (643.4kB )  [ps] (5.3MB )  

• The 2012 UT Austin Villa Code Release.
  Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter Stone.
  In RoboCup-2013: Robot Soccer World Cup XVII, Springer Verlag, 2013.
  Details     BibTeX     Download: [pdf] (376.3kB )  [ps] (2.1MB )  

• UT Austin Villa 2012: Standard Platform League World Champions.
  Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter Stone.
  In Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.
  Details     BibTeX     Download: [pdf] (740.4kB )  [ps] (15.0MB )  

• Teamwork with Limited Knowledge of Teammates.
  Samuel Barrett, Peter Stone, Sarit Kraus, and Avi Rosenfeld.
  In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 2013.
  Details     BibTeX     Download: [pdf] (190.1kB )  [ps] (2.0MB )  

• Auction-based autonomous intersection management.
  Dustin Carlino, Stephen D. Boyles, and Peter Stone.
  In Proceedings of the 16th IEEE Intelligent Transportation Systems Conference (ITSC), October 2013.
  Details     BibTeX     Download: [pdf] (318.1kB )  [ps] (1.4MB )  

• Multiagent Learning in the Presence of Memory-Bounded Agents.
  Doran Chakraborty and Peter Stone.
  Autonomous Agents and Multiagent Systems (JAAMAS), Springer, 2013.
  Details     BibTeX     Download: [pdf] (676.7kB )  [ps] (447.9kB )  

• Cooperating with a Markovian Ad Hoc Teammate.
  Doran Chakraborty and Peter Stone.
  In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
  Details     BibTeX     Download: [pdf] (202.3kB )  [ps] (408.2kB )  

• Targeted Opponent Modeling of Memory-Bounded Agents.
  Doran Chakraborty, Noa Agmon, and Peter Stone.
  In Proceedings of the Adaptive Learning Agents Workshop (ALA), May 2013.
  Details     BibTeX     Download: [pdf] (629.0kB )  [ps] (1.6MB )  

• Humanoid Robots Learning to Walk Faster: From the Real World to Simulation and Back.
  Alon Farchy, Samuel Barrett, Patrick MacAlpine, and Peter Stone.
  In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
  The videos referenced in the paper: original and optimized.
  Details     BibTeX     Download: [pdf] (486.2kB )  [ps] (36.5MB )  

• Role-Based Ad Hoc Teamwork.
  Katie Genter, Noa Agmon, and Peter Stone.
  In Gita Sukthankar, Robert P. Goldman, Christopher Geib, David V. Pyhadath, and Hung Hai Bui, editors, Plan, Activity, and Intent Recognition: Theory and Practice, pp. 251–272, Elsevier, Philadelphia, PA, USA, 2013.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (1.6MB )  

• Ad Hoc Teamwork for Leading a Flock.
  Katie Genter, Noa Agmon, and Peter Stone.
  In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May 2013.
  Details     BibTeX     Download: [pdf] (246.7kB )  [ps] (563.3kB )  [slides.pdf] (28.3MB )  

• Improving Efficiency of Leading a Flock in Ad Hoc Teamwork Settings.
  Katie Genter, Noa Agmon, and Peter Stone.
  In AAMAS Autonomous Robots and Multirobot Systems (ARMS) Workshop, May 2013.
  Details     BibTeX     Download: [pdf] (179.8kB )  [ps] (413.8kB )  [slides.pdf] (13.0MB )  

• TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots.
  Todd Hester and Peter Stone.
  Machine Learning, 90(3):385–429, 2013.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (987.8kB )  [ps] (3.2MB )  

• The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots.
  Todd Hester and Peter Stone.
  In Sven Behnke, Arnoud Visser, Rong Xiong, and Manuela Veloso, editors, RoboCup-2013: Robot Soccer World Cup XVII, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.
  Details     BibTeX     Download: [pdf] (234.7kB )  [ps] (2.9MB )  

• Learning Exploration Strategies in Model-Based Reinforcement Learning.
  Todd Hester, Manuel Lopes, and Peter Stone.
  In The Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
  Details     BibTeX     Download: [pdf] (258.7kB )  [ps] (2.4MB )  

• Training a Robot via Human Feedback: A Case Study.
  W. Bradley Knox, Peter Stone, and Cynthia Breazeal.
  In International Conference on Social Robotics, October 2013.
  BEST PAPER AWARD WINNER at ICSR 2013
  An associated video summarizing the paper (direct link).
  Details     BibTeX     Download: [pdf] (2.3MB )  

• UT Austin Villa: RoboCup 2012 3D Simulation League Champion.
  Patrick MacAlpine, Nick Collins, Adrian Lopez-Mobilia, and Peter Stone.
  In Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.
  Accompanying video at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2012/html/results_3d/#highlights
  Details     BibTeX     Download: [pdf] (654.8kB )  [ps] (6.7MB )  

• Positioning to Win: A Dynamic Role Assignment and FormationPositioning System.
  Patrick MacAlpine, Francisco Barrera, and Peter Stone.
  In Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.
  Accompanying video at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/positioning.html
  Details     BibTeX     Download: [pdf] (255.9kB )  [ps] (722.6kB )  [slides.pdf] (44.0MB )  

• Simultaneous Learning and Reshaping of an Approximated Optimization Task.
  Patrick MacAlpine, Elad Liebman, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013.
  Details     BibTeX     Download: [pdf] (435.1kB )  [ps] (2.1MB )  [slides.pdf] (35.2MB )  

• UT Austin Villa 2013: Advances in Vision, Kinematics, and Strategy.
  Jacob Menashe, Katie Genter, Samuel Barrett, and Peter Stone.
  In The Eighth Workshop on Humanoid Soccer Robots at Humanoids 2013, October 2013.
  Details     BibTeX     Download: [pdf] (350.2kB )  [ps] (24.1MB )  [slides.pdf] (3.1MB )  

• Teaching and leading an ad hoc teammate: Collaboration without pre-coordination.
  Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein, and Noa Agmon.
  Artificial Intelligence, 203:35–65, Elsevier, October 2013.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (499.6kB )  [ps] (734.2kB )  

• Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System.
  Daniel Urieli and Peter Stone.
  In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML'13), Sep 2013.
  Official publisher version
  Details     BibTeX     Download: [pdf] (2.3MB )  [ps] (1.4MB )  [slides.pdf] (3.6MB )  

• A Learning Agent for Heat-Pump Thermostat Control.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
  Details     BibTeX     Download: [pdf] (426.6kB )  [slides.pdf] (4.6MB )  

• Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates.
  Noa Agmon and Peter Stone.
  In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
  Details     BibTeX     Download: [pdf] (229.4kB )  [ps] (757.7kB )  

• On Coordination in Practical Multi-Robot Patrol.
  Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter Stone, Christine Julien, and Sriram Vishwanath.
  In IEEE International Conference on Robotics and Automation (ICRA), May 2012.
  Details     BibTeX     Download: [pdf] (412.4kB )  [ps] (5.4MB )  

• Setpoint Scheduling for Autonomous Vehicle Controllers.
  Tsz-Chiu Au, Michael Quinlan, and Peter Stone.
  In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), May 2012.
  Details     BibTeX     Download: [pdf] (684.9kB )  [ps] (2.7MB )  

• Wright Eagle and UT Austin Villa: RoboCup 2011 Simulation League Champions.
  Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel Urieli, Samuel Barrett, and Peter Stone.
  In Thomas Roefer, Norbert Michael Mayer, Jesus Savage, and Uluc Saranli, editors, RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2012.
  Details     BibTeX     Download: [pdf] (257.0kB )  [ps] (829.5kB )  

• An Analysis Framework for Ad Hoc Teamwork Tasks.
  Samuel Barrett and Peter Stone.
  In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
  Details     BibTeX     Download: [pdf] (177.6kB )  [ps] (1.1MB )  [slides.pdf] (1.6MB )  

• Austin Villa 2011: Sharing is Caring: Better Awareness through Information Sharing.
  Samuel Barrett, Katie Genter, Todd Hester, Piyush Khandelwal, Michael Quinlan, Peter Stone, and Mohan Sridharan.
  Technical Report UT-AI-TR-12-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2012.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (32.8MB )  

• Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles.
  Dustin Carlino, Mike Depinet, Piyush Khandelwal, and Peter Stone.
  In Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC), September 2012.
  Details     BibTeX     Download: [pdf] (727.1kB )  [ps] (14.3MB )  

• Automated Intersection Control: Performance of a Future Innovation Versus Current Traffic Signal Control.
  David Fajardo, Tsz-Chiu Au, Travis Waller, Peter Stone, and David Yang.
  Transportation Research Record (TRR), 2259:223–32, 2012.
  Details     BibTeX     Download: [pdf] (591.8kB )  

• HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player.
  Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, and Peter Stone.
  In Genetic and Evolutionary Computation Conference (GECCO), July 2012.
  Details     BibTeX     Download: [pdf] (880.9kB )  [ps] (3.3MB )  

• RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control.
  Todd Hester, Michael Quinlan, and Peter Stone.
  In IEEE International Conference on Robotics and Automation (ICRA), May 2012.
  Details     BibTeX     Download: [pdf] (359.7kB )  [ps] (1.9MB )  

• PAC Subset Selection in Stochastic Multi-armed Bandits.
  Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, and Peter Stone.
  In Proceedings of the 29th International Conference on Machine Learning (ICML), pp. 655–662, Omnipress, New York, NY, USA, June-July 2012.
  Details     BibTeX     Download: [pdf] (230.2kB )  [ps] (519.5kB )  

• A Low Cost Ground Truth Detection System Using the Kinect.
  Piyush Khandelwal and Peter Stone.
  In Thomas Roefer, Norbert Michael Mayer, Jesus Savage, and Uluc Saranli, editors, RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2012.
  Details     BibTeX     Download: [pdf] (323.7kB )  [ps] (2.7MB )  

• How Humans Teach Agents: A New Experimental Perspective.
  W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, and Peter Stone.
  International Journal of Social Robotics, 4:409–421, Springer Netherlands, October 2012. 10.1007/s12369-012-0163-x
  International Journal of Social Robotics
  Download article from publisher
  Details     BibTeX     Download: [pdf] (2.6MB )  

• The Nature of Belief-Directed Exploratory Choice in Human Decision-Making.
  W. Bradley Knox, A. Ross Otto, Peter Stone, and Bradley Love.
  Frontiers in Psychology, 2(398), January 2012.
  Frontiers in Psychology
  Download article from publisher (free)
  A follow-up commentary by Erica Yu.
  Details     BibTeX     Download: (unavailable)

• Reinforcement Learning from Simultaneous Human and MDP Reward.
  W. Bradley Knox and Peter Stone.
  In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
  AAMAS 2012
  Details     BibTeX     Download: [pdf] (929.6kB )  [ps] (4.9MB )  

• Learning from feedback on actions past and intended.
  W. Bradley Knox, Cynthia Breazeal, and Peter Stone.
  In Proceedings of 7th ACM/IEEE International Conference on Human-Robot Interaction, Late-Breaking Reports Session (HRI), March 2012.
  HRI 2012
  Details     BibTeX     Download: [pdf] (447.6kB )  [ps] (3.9MB )  

• Using a million cell simulation of the cerebellum: Network scaling and task generality.
  Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, and Michael D. Mauk.
  Neural Networks, November 2012.
  Details     BibTeX     Download: [pdf] (765.8kB )  [ps] (2.5MB )  

• Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation Competition.
  Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, and Peter Stone.
  In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), July 2012.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/walk.html
  Details     BibTeX     Download: [pdf] (461.2kB )  [ps] (2.0MB )  [slides.pdf] (204.2MB )  

• UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition.
  Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae \cStiurc\ua, Victor Vu, and Peter Stone.
  In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/components.html
  Details     BibTeX     Download: [pdf] (646.3kB )  [ps] (2.7MB )  [slides.pdf] (135.4MB )  

• Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk.
  Patrick MacAlpine and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012.
  Video available at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2012/html/holonomicwalk.html
  Ukrainian translation by Domri team
  Details     BibTeX     Download: [pdf] (525.6kB )  [ps] (2.2MB )  [slides.pdf] (159.5MB )  

• Multiagent Patrol Generalized to Complex Environmental Conditions.
  Noa Agmon, Daniel Urieli, and Peter Stone.
  In Proceedings of the Twenty-Fifth Conference on ArtificialIntelligence (AAAI), August 2011.
  Extended version, book chapter
  Details     BibTeX     Download: [pdf] (323.8kB )  [ps] (1.9MB )  

• Enforcing Liveness in Autonomous Traffic Management.
  Tsz-Chiu Au, Neda Shahidi, and Peter Stone.
  In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, August 2011.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (31.7MB )  

• Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain.
  Samuel Barrett, Peter Stone, and Sarit Kraus.
  In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2011.
  Details     BibTeX     Download: [pdf] (361.8kB )  [ps] (11.4MB )  [slides.pdf] (616.4kB )  

• Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards.
  Samuel Barrett and Peter Stone.
  In Tenth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2011.
  Details     BibTeX     Download: [pdf] (136.1kB )  [ps] (384.8kB )  

• Austin Villa 2010 Standard Platform Team Report.
  Samuel Barrett, Katie Genter, Matthew Hausknecht, Todd Hester, Piyush Khandelwal, Juhyun Lee, Michael Quinlan, Aibo Tian, Peter Stone, and Mohan Sridharan.
  Technical Report UT-AI-TR-11-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2011.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (38.0MB )  

• Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree.
  Doran Chakraborty and Peter Stone.
  In Proceedings of the Twenty Eighth International Conference on Machine Learning (ICML), 2011.
  Details     BibTeX     Download: [pdf] (223.3kB )  [ps] (521.1kB )  

• Dynamic Lane Reversal in Traffic Management.
  Matthew Hausknecht, Tsz-Chiu Au, Peter Stone, David Fajardo, and Travis Waller.
  In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), 2011.
  Details     BibTeX     Download: [pdf] (127.0kB )  [ps] (4.3MB )  

• Autonomous Intersection Management: Multi-Intersection Optimization.
  Matthew Hausknecht, Tsz-Chiu Au, and Peter Stone.
  In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2011.
  Details     BibTeX     Download: [pdf] (252.7kB )  [ps] (1.9MB )  

• Learning and Using Models.
  Todd Hester and Peter Stone.
  In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, Springer Verlag, Berlin, Germany, 2011.
  Details     BibTeX     Download: [pdf] (474.7kB )  [ps] (1.0MB )  

• Characterizing Reinforcement Learning Methods through Parameterized Learning Problems.
  Shivaram Kalyanakrishnan and Peter Stone.
  Machine Learning (MLJ), 84(1--2):205–247, July 2011.
  Publisher's on-line version
  Details     BibTeX     Download: [pdf] (858.5kB )  [ps] (2.4MB )  

• On Learning with Imperfect Representations.
  Shivaram Kalyanakrishnan and Peter Stone.
  In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 17–24, IEEE, April 2011.
  Details     BibTeX     Download: [pdf] (163.8kB )  [ps] (196.0kB )  

• Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report.
  W. Bradley Knox and Peter Stone.
  In IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
  IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)
  Details     BibTeX     Download: [pdf] (372.4kB )  [ps] (41.6MB )  

• Comparing Agents: Success against People in Security Domains.
  Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, and Peter Stone.
  In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011.
  Details     BibTeX     Download: [pdf] (387.5kB )  

• UT Austin Villa 2011 3D Simulation Team Report.
  Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae\cStiurc\ua, Victor Vu, and Peter Stone.
  Technical Report AI11-10, The University of Texas at Austin, Department of Computer Science, AI Laboratory, 2011.
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (5.3MB )  

• Designing Adaptive Trading Agents.
  David Pardoe and Peter Stone.
  ACM SIGecom Exchanges, 10(2):37–9, June 2011.
  SIGecom Exchanges
  Details     BibTeX     Download: [pdf] (159.7kB )  

• A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations.
  David Pardoe and Peter Stone.
  In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2011.
  Details     BibTeX     Download: [pdf] (313.6kB )  [ps] (280.8kB )  

• An Introduction to Inter-task Transfer for Reinforcement Learning.
  Matthew E. Taylor and Peter Stone.
  AI Magazine, 32(1):15–34, 2011.
  Details     BibTeX     Download: [pdf] (237.0kB )  [ps] (773.0kB )  

• On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer.
  Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone.
  In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), pp. 769–776, IFAAMAS, May 2011.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2010/html/skilloptimization2010.html
  Details     BibTeX     Download: [pdf] (530.9kB )  [ps] (1.6MB )  [slides.pptx] (3.8MB )  

• Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning.
  Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone.
  In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April 2011.
  2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)
  Details     BibTeX     Download: [pdf] (165.3kB )  

• Motion Planning Algorithms for Autonomous Intersection Management.
  Tsz-Chiu Au and Peter Stone.
  In AAAI 2010 Workshop on Bridging The Gap Between Task And Motion Planning (BTAMP), 2010.
  Details     BibTeX     Download: [pdf] (417.4kB )  [ps] (2.0MB )  

• Controlled Kicking under Uncertainty.
  Samuel Barrett, Katie Genter, Todd Hester, Michael Quinlan, and Peter Stone.
  In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, December 2010.
  Details     BibTeX     Download: [pdf] (357.3kB )  [ps] (17.7MB )  

• Transfer Learning for Reinforcement Learning on a Physical Robot.
  Samuel Barrett, Matt E. Taylor, and Peter Stone.
  In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2010.
  AAMAS ALA 2010
  Details     BibTeX     Download: [pdf] (688.8kB )  [ps] (5.7MB )  

• Convergence, Targeted Optimality and Safety in Multiagent Learning.
  Doran Chakraborty and Peter Stone.
  In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML), June 2010.
  Details     BibTeX     Download: [pdf] (196.9kB )  [ps] (474.1kB )  

• Real Time Targeted Exploration in Large Domains.
  Todd Hester and Peter Stone.
  In The Ninth International Conference on Development and Learning (ICDL), August 2010.
  ICDL 2010
  Details     BibTeX     Download: [pdf] (253.9kB )  [ps] (554.1kB )  

• Generalized Model Learning for Reinforcement Learning on a Humanoid Robot.
  Todd Hester, Michael Quinlan, and Peter Stone.
  In IEEE International Conference on Robotics and Automation (ICRA), May 2010.
  Video available at http://www.cs.utexas.edu/~AustinVilla/?p=research/rl_kick
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (25.3MB )  

• Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration.
  Tobias Jung and Peter Stone.
  In The European Conference on Machine Learning (ECML), September 2010.
  Details     BibTeX     Download: [pdf] (417.0kB )  [ps] (6.5MB )  [slides.pdf] (505.6kB )  

• Efficient Selection of Multiple Bandit Arms: Theory and Practice.
  Shivaram Kalyanakrishnan and Peter Stone.
  In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML), 2010.
  Details     BibTeX     Download: [pdf] (257.1kB )  [ps] (679.3kB )  

• Vision Calibration and Processing on a Humanoid Soccer Robot.
  Piyush Khandelwal, Matthew Hausknecht, Juhyun Lee, Aibo Tian, and Peter Stone.
  In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, December 2010.
  Details     BibTeX     Download: [pdf] (402.6kB )  [ps] (14.8MB )  

• Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning.
  W. Bradley Knox and Peter Stone.
  In Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
  Winner of the Pragnesh Jay Modi BEST STUDENT PAPER AWARD (and best paper award nominee).
  The TAMER project page with videos of TAMER in action.
  AAMAS-2010
  Details     BibTeX     Download: [pdf] (422.9kB )  [ps] (3.5MB )  

• Multi-Agent Social Simulation.
  Itsuki Noda, Peter Stone, Tomohisa Yamashita, and Koichi Kurumatani.
  In Nakashima, H., Aghajan, H., \& Augusto, J. C., editors, Handbook of Ambient Intelligence and Smart Environments, pp. 703–729, Springer Verlag, 2010.
  Official version from publisher's webage
  Details     BibTeX     Download: (unavailable)

• Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge.
  David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak.
  Informs Journal on Computing, 22(3):353–370, 2010.
  Details     BibTeX     Download: [pdf] (530.9kB )  [ps] (9.2MB )  

• The 2007 TAC SCM Prediction Challenge.
  David Pardoe and Peter Stone.
  In Wolfgang Ketter, Han La Poutré, Norman Sadeh, Onn Shehory, and William Walsh, editors, Agent-Mediated Electronic Commerce and Trading Agent Design and Alaysis, Lecture Notes in Business Information Processing (LNBIP), pp. 175–89, Springer Verlag, 2010.
  Details     BibTeX     Download: [pdf] (1.0MB )  [ps] (2.0MB )  

• Boosting for Regression Transfer.
  David Pardoe and Peter Stone.
  In Proceedings of the 27th International Conference on Machine Learning (ICML), June 2010.
  Some of the data used in the experiments.
  Details     BibTeX     Download: [pdf] (600.5kB )  [ps] (1.7MB )  

• TacTex09: A Champion Bidding Agent for Ad Auctions.
  David Pardoe, Doran Chakraborty, and Peter Stone.
  In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
  Details     BibTeX     Download: [pdf] (564.3kB )  [ps] (1.0MB )  

• Bringing Simulation to Life: A Mixed Reality Autonomous Intersection.
  Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, and Peter Stone.
  In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2010.
  Video available at http://www.cs.utexas.edu/~aim/video/MixedReality.wmv
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (10.6MB )  

• MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training.
  Adam Setapen, Michael Quinlan, and Peter Stone.
  In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
  supplemental video cited in the paper.
  Details     BibTeX     Download: [pdf] (533.2kB )  [ps] (9.7MB )  

• The Essence of Soccer, Can Robots Play Too?.
  Peter Stone, Michael Quinlan, and Todd Hester.
  In Ted Richards, editors, Soccer and Philosophy: Beautiful Thoughts on theBeautiful Game, Popular Culture and Philosophy, pp. 75–88, Open Court Publishing Company, 2010.
  Appears in Soccer and Philosophy (available from amazon.com)
  Details     BibTeX     Download: [pdf] (121.3kB )  [ps] (514.1kB )  

• Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination.
  Peter Stone, Gal A. Kaminka, Sarit Kraus, and Jeffrey S. Rosenschein .
  In Proceedings of the Twenty-Fourth Conference on Artificial Intelligence, July 2010.
  AAAI 2010
  Details     BibTeX     Download: [pdf] (119.0kB )  [ps] (266.6kB )  [slides.pdf] (8.1MB )  

• To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams.
  Peter Stone and Sarit Kraus.
  In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems, May 2010.
  supplemental material cited in the paper, including a proof and an algorithm.
  AAMAS 2010
  Details     BibTeX     Download: [pdf] (180.6kB )  [ps] (285.3kB )  

• Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning.
  Shimon Whiteson, Matthew E. Taylor, and Peter Stone.
  Journal of Autonomous Agents and Multi-Agent Systems, 21(1):1–27, 2010.
  Details     BibTeX     Download: [pdf] (760.6kB )  [ps] (1.9MB )  

• Autonomous Return on Investment Analysis of Additional Processing Resources.
  Jonathan Wildstrom, Peter Stone, and Emmett Witchel.
  International Journal on Autonomic Computing, 1(3):280–296, Inderscience Publishers, Inderscience Publishers, Geneva, SWITZERLAND, 2010.
  IJAC
  Details     BibTeX     Download: (unavailable)

• Improving Particle Filter Performance Using SSE Instructions.
  Peter Djeu, Michael Quinlan, and Peter Stone.
  In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2009.
  Details     BibTeX     Download: [pdf] (176.8kB )  [ps] (2.7MB )  

• A Task Specification Language for Bootstrap Learning.
  Ian Fasel, Michael Quinlan, and Peter Stone.
  In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
  AAAI Spring 2009 Symposium: Agents that Learn from Human Teachers
  Details     BibTeX     Download: [pdf] (407.2kB )  [ps] (1.9MB )  

• Generalized Model Learning for Reinforcement Learning in Factored Domains.
  Todd Hester and Peter Stone.
  In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2009.
  AAMAS 2009
  Details     BibTeX     Download: [pdf] (181.5kB )  [ps] (425.5kB )  

• An Empirical Comparison of Abstraction in Models of Markov Decision Processes.
  Todd Hester and Peter Stone.
  In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, June 2009.
  ICML ARL 2009
  Details     BibTeX     Download: [pdf] (127.0kB )  [ps] (363.0kB )  

• TT-UT Austin Villa 2009: Naos across Texas.
  Todd Hester, Michael Quinlan, Peter Stone, and Mohan Sridharan.
  Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department of Computer Science, AI Laboratory, 2009.
  Details     BibTeX     Download: [pdf] (787.9kB )  [ps] (7.0MB )  

• Compositional Models for Reinforcement Learning.
  Nicholas K. Jong and Peter Stone.
  In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
  Details     BibTeX     Download: [pdf] (173.0kB )  [ps] (431.7kB )  

• Feature Selection for Value Function Approximation Using Bayesian Model Selection.
  Tobias Jung and Peter Stone.
  In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
  Details     BibTeX     Download: [pdf] (746.9kB )  [ps] (2.3MB )  [slides.pdf] (957.5kB )  

• Connectivity-based Localization in Robot Networks.
  Tobias Jung, Mazda Ahmadi, and Peter Stone.
  In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), June 2009.
  Details     BibTeX     Download: [pdf] (176.8kB )  [ps] (514.7kB )  

• An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning.
  Shivaram Kalyanakrishnan and Peter Stone.
  In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749–756, International Foundation for Autonomous Agents and Multiagent Systems, May 2009.
  AAMAS 2009
  Details     BibTeX     Download: [pdf] (366.4kB )  [ps] (1.7MB )  

• The UT Austin Villa 3D Simulation Soccer Team 2008.
  Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone.
  Technical Report AI09-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2009.
  Details     BibTeX     Download: [pdf] (292.6kB )  [ps] (983.9kB )  

• Interactively Shaping Agents via Human Reinforcement: The TAMER Framework.
  W. Bradley Knox and Peter Stone.
  In The Fifth International Conference on Knowledge Capture, September 2009.
  The TAMER project page with videos of TAMER in action.
  K-CAP 2009
  Details     BibTeX     Download: [pdf] (540.2kB )  [ps] (3.7MB )  

• Design Principles for Creating Human-Shapable Agents.
  W. Bradley Knox, Ian Fasel, and Peter Stone.
  In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
  AAAI Spring 2009 Symposium: Agents that Learn from Human Teachers
  Details     BibTeX     Download: [pdf] (400.8kB )  [ps] (2.1MB )  

• An Autonomous Agent for Supply Chain Management.
  David Pardoe and Peter Stone.
  In Gedas Adomavicius and Alok Gupta, editors, Handbooks in Information Systems Series: Business Computing, pp. 141–72, Emerald Group, 2009.
  Details     BibTeX     Download: [pdf] (392.2kB )  [ps] (736.6kB )  

• Adapting Price Predictions in TAC SCM.
  David Pardoe and Peter Stone.
  In John Collins, Peyman Faratin, Simon Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, and Elizabeth Sklar, editors, Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, Lecture Notes in Business Information Processing, pp. 30–45, Springer Verlag, 2009.
  Official version from publisher's webpage
  Details     BibTeX     Download: [pdf] (328.7kB )  [ps] (524.0kB )  

• Color Learning and Illumination Invariance on Mobile Robots: A Survey.
  Mohan Sridharan and Peter Stone.
  Robotics and Autonomous Systems (RAS) Journal, 57(60-7):629–44, June 2009.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (6.0MB )  

• Transfer Learning for Reinforcement Learning Domains: A Survey.
  Matthew E. Taylor and Peter Stone.
  Journal of Machine Learning Research, 10(1):1633–1685, 2009.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (399.8kB )  [ps] (579.4kB )  

• Instance-Based Action Models for Fast Action Planning.
  Mazda Ahmadi and Peter Stone.
  In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 1–16, Springer Verlag, Berlin, 2008.
  BEST PAPER AWARD WINNER at RoboCup International Symposium.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (466.3kB )  [ps] (3.0MB )  

• Multiagent Interactions in Urban Driving.
  Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone.
  Journal of Physical Agents, 2(1):15–30, March 2008. Special issue on Multi-Robot Systems
  JoPhA
  Details     BibTeX     Download: [pdf] (2.1MB )  [ps] (6.6MB )  

• Online Multiagent Learning against Memory Bounded Adversaries.
  Doran Chakraborty and Peter Stone.
  In Machine Learning and Knowledge Discovery in Databases, pp. 211–26, September 2008.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (232.4kB )  [ps] (669.2kB )  

• A Multiagent Approach to Autonomous Intersection Management.
  Kurt Dresner and Peter Stone.
  Journal of Artificial Intelligence Research, 31:591–656, March 2008.
  Available from journal's web page.
  Further details and videos are on the project page.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (2.2MB )  

• Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles.
  Kurt Dresner and Peter Stone.
  In AAMAS Workshop on Agents in Traffic and Transportation, pp. 78–85, Estoril, Portugal, May 2008.
  Details     BibTeX     Download: [pdf] (836.3kB )  [ps] (1.3MB )  

• A Neural Network-Based Approach to Robot Motion Control.
  Uli Grasemann, Daniel Stronger, and Peter Stone.
  In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 480–87, Springer Verlag, Berlin, 2008.
  Details     BibTeX     Download: [pdf] (280.9kB )  [ps] (1.6MB )  

• Negative Information and Line Observations for Monte Carlo Localization.
  Todd Hester and Peter Stone.
  In IEEE International Conference on Robotics and Automation, May 2008.
  ICRA 2008
  Details     BibTeX     Download: [pdf] (128.7kB )  [ps] (501.7kB )  

• UT Austin Villa 2008: Standing on Two Legs.
  Todd Hester, Michael Quinlan, and Peter Stone.
  Technical Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2008.
  Details     BibTeX     Download: [pdf] (705.9kB )  [ps] (6.2MB )  

• Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ.
  Nicholas K. Jong and Peter Stone.
  In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
  ICML 2008
  Details     BibTeX     Download: [pdf] (157.5kB )  [ps] (370.2kB )  

• The Utility of Temporal Abstraction in Reinforcement Learning.
  Nicholas K. Jong, Todd Hester, and Peter Stone.
  In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
  AAMAS-2008
  Details     BibTeX     Download: [pdf] (136.4kB )  [ps] (325.7kB )  

• Model-based Reinforcement Learning in a Complex Domain.
  Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu.
  In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 171–83, Springer Verlag, Berlin, 2008.
  Details     BibTeX     Download: [pdf] (200.9kB )  [ps] (515.0kB )  

• TAMER: Training an Agent Manually via Evaluative Reinforcement.
  W. Bradley Knox and Peter Stone.
  In IEEE 7th International Conference on Development and Learning, August 2008.
  ICDL-2008
  Also available in IEEE Xplore, 9-12 Aug. 2008 Pages:292 - 297
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (12.8MB )  

• Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting.
  Juhyun Lee, W. Bradley Knox, and Peter Stone.
  Journal of Physical Agents, 2(2):41–50, July 2008. Special Issue on Human Interaction with Domestic Robots
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (2.4MB )  [ps] (3.4MB )  

• Online Kernel Selection for Bayesian Reinforcement Learning.
  Joseph Reisinger, Peter Stone, and Risto Miikkulainen.
  In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
  ICML 2008
  Details     BibTeX     Download: [pdf] (434.0kB )  [ps] (1.7MB )  

• Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents.
  Daniel Stronger and Peter Stone.
  International Journal on Artificial Intelligence Tools, 17(1):159–174, February 2008.
  official published version
  Details     BibTeX     Download: [pdf] (236.4kB )  [ps] (1.0MB )  

• Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot.
  Daniel Stronger and Peter Stone.
  In IEEE International Conference on Robotics and Automation, May 2008.
  ICRA 2008
  Details     BibTeX     Download: [pdf] (182.1kB )  [ps] (902.7kB )  

• Transferring Instances for Model-Based Reinforcement Learning.
  Matthew E. Taylor, Nicholas K. Jong, and Peter Stone.
  In Machine Learning and Knowledge Discovery in Databases, pp. 488–505, September 2008.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (304.9kB )  [ps] (860.1kB )  

• Autonomous Transfer for Reinforcement Learning.
  Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone.
  In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
  AAMAS-2008
  Details     BibTeX     Download: [pdf] (233.3kB )  [ps] (391.7kB )  

• Transfer Learning and Intelligence: an Argument and Approach.
  Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone.
  In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
  AGI-2008
  Google video version of the conference presentation.
  Details     BibTeX     Download: [pdf] (149.0kB )  [ps] (202.5kB )  

• Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles.
  Mark VanMiddlesworth, Kurt Dresner, and Peter Stone.
  In AAMAS Workshop on Agents in Traffic and Transportation, pp. 94–101, Estoril, Portugal, May 2008.
  Details     BibTeX     Download: [pdf] (161.4kB )  [ps] (305.1kB )  

• IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks.
  Mazda Ahmadi, Matthew E. Taylor, and Peter Stone.
  In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  BEST PAPER AWARD NOMINEE.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (261.6kB )  [ps] (1.0MB )  

• General Game Learning using Knowledge Transfer.
  Bikramjit Banerjee and Peter Stone.
  In The 20th International Joint Conference on Artificial Intelligence, pp. 672–677, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (118.1kB )  [ps] (198.5kB )  

• Sharing the Road: Autonomous Vehicles meet Human Drivers.
  Kurt Dresner and Peter Stone.
  In The 20th International Joint Conference on Artificial Intelligence, pp. 1263–68, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (189.9kB )  [ps] (287.7kB )  

• Learning Policy Selection for Autonomous Intersection Management.
  Kurt Dresner and Peter Stone.
  In AAMAS 2007 Workshop on Adaptive and Learning Agents, pp. 34–39, Honolulu, Hawaii, USA, May 2007.
  Details     BibTeX     Download: [pdf] (79.9kB )  [ps] (197.6kB )  

• The Chin Pinch: A Case Study in Skill Learning on a Legged Robot.
  Peggy Fidelman and Peter Stone.
  In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 59–71, Springer Verlag, Berlin, 2007.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (186.9kB )  [ps] (1.6MB )  

• Model-Based Function Approximation for Reinforcement Learning.
  Nicholas K. Jong and Peter Stone.
  In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  Details     BibTeX     Download: [pdf] (321.1kB )  [ps] (1.0MB )  

• Model-Based Exploration in Continuous State Spaces.
  Nicholas K. Jong and Peter Stone.
  In The Seventh Symposium on Abstraction, Reformulation, and Approximation, July 2007.
  Details     BibTeX     Download: [pdf] (324.3kB )  [ps] (1.1MB )  

• Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.
  Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone.
  In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 72–85, Springer Verlag, Berlin, 2007.
  BEST STUDENT PAPER AWARD WINNER at RoboCup International Symposium.
  Some simulations referenced in the paper.
  Details     BibTeX     Download: [pdf] (992.2kB )  [ps] (1.6MB )  

• Batch Reinforcement Learning in a Complex Domain.
  Shivaram Kalyanakrishnan and Peter Stone.
  In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 650–657, ACM, New York, NY, USA, May 2007.
  BEST PAPER AWARD NOMINEE.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (186.4kB )  [ps] (384.8kB )  

• The UT Austin Villa 3D Simulation Soccer Team 2007.
  Shivaram Kalyanakrishnan and Peter Stone.
  Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2007.
  Supplementary resources at the UT Austin Villa 3D Simulation page.
  Details     BibTeX     Download: [pdf] (273.4kB )  [ps] (5.7MB )  

• Graph-Based Domain Mapping for Transfer Learning in General Games.
  Gregory Kuhlmann and Peter Stone.
  In Proceedings of The Eighteenth European Conference on Machine Learning, September 2007.
  Details     BibTeX     Download: [pdf] (377.0kB )  [ps] (601.6kB )  

• Autonomous Learning of Stable Quadruped Locomotion.
  Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone.
  In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 98–109, Springer Verlag, Berlin, 2007.
  BEST PAPER AWARD NOMINEE at RoboCup International Symposium.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (26.8MB )  

• Structure Based Color Learning on a Mobile Robot under Changing Illumination.
  Mohan Sridharan and Peter Stone.
  Autonomous Robots, 23(3):161–182, 2007.
  Official versionfrom the Autonomous Robots publisher's webpage.
  Details     BibTeX     Download: [pdf] (2.0MB )  [ps] (8.6MB )  

• Planning Actions to Enable Color Learning on a Mobile Robot.
  Mohan Sridharan and Peter Stone.
  International Journal of Information and Systems Sciences, 3(3):510–25, 2007.
  official published version
  Details     BibTeX     Download: (unavailable)

• Action Selection for Illumination Invariant Color Learning.
  Mohan Sridharan and Peter Stone.
  In The IEEE International Conference on Intelligent Robots and Systems (IROS), 2007.
  Details     BibTeX     Download: [pdf] (176.5kB )  [ps] (490.5kB )  

• Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination.
  Mohan Sridharan and Peter Stone.
  In The 20th International Joint Conference on Artificial Intelligence, pp. 2212–2217, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (129.5kB )  [ps] (184.9kB )  

• Intelligent Autonomous Robotics: A Robot Soccer Case Study,
  Peter Stone.
  Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan \& Claypool Publishers, 2007.
  Available from Synthesis page.
  ISBN: 9781598291262
  Details     BibTeX     Download: (unavailable)

• Multiagent learning is not the answer. It is the question.
  Peter Stone.
  Artificial Intelligence, 171:402–05, May 2007.
  Response to Shoham, Powers, and Grenager If Multi-Agent Systems is the Answer, What is the Question?, available from Shoham's webpage.
  Official version from the AIJ publisher's webpage.
  Details     BibTeX     Download: [pdf] (117.9kB )  [ps] (91.0kB )  

• Learning and Multiagent Reasoning for Autonomous Agents.
  Peter Stone.
  In The 20th International Joint Conference on Artificial Intelligence, pp. 13–30, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (308.5kB )  [ps] (379.3kB )  

• DARPA Urban Challenge Technical Report: Austin Robot Technology.
  Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan.
  June 2007. Available from http://www.darpa.mil/grandchallenge/rules.asp
  Details     BibTeX     Download: [pdf] (2.7MB )  

• Selective Visual Attention for Object Detection on a Legged Robot.
  Daniel Stronger and Peter Stone.
  In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 158–170, Springer Verlag, Berlin, 2007.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (159.7kB )  [ps] (342.4kB )  

• A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot.
  Daniel Stronger and Peter Stone.
  In IEEE International Conference on Robotics and Automation, pp. 3915–3920, April 2007.
  Details     BibTeX     Download: [pdf] (271.4kB )  [ps] (2.2MB )  

• Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
  Matthew E. Taylor, Peter Stone, and Yaxin Liu.
  Journal of Machine Learning Research, 8(1):2125–2167, 2007.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (499.9kB )  [ps] (831.3kB )  

• Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.
  Matthew E. Taylor, Shimon Whiteson, and Peter Stone.
  In Proceedings of the Twenty-Second Conference on Artificial Intelligence, pp. 1675–1678, July 2007. Nectar Track
  AAAI 2007
  Details     BibTeX     Download: [pdf] (99.7kB )  [ps] (190.4kB )  

• Cross-Domain Transfer for Reinforcement Learning.
  Matthew E. Taylor and Peter Stone.
  In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
  ICML 2007
  Details     BibTeX     Download: [pdf] (220.7kB )  [ps] (325.4kB )  

• Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning.
  Matthew E. Taylor, Shimon Whiteson, and Peter Stone.
  In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (222.5kB )  [ps] (525.2kB )  

• Representation Transfer for Reinforcement Learning.
  Matthew E. Taylor and Peter Stone.
  In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
  2007 AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development
  Details     BibTeX     Download: [pdf] (144.9kB )  [ps] (375.1kB )  

• Accelerating Search with Transferred Heuristics.
  Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone.
  In ICAPS-07 workshop on AI Planning and Learning, September 2007.
  ICAPS 2007 workshop on AI Planning and Learning
  Details     BibTeX     Download: [pdf] (139.9kB )  [ps] (215.4kB )  

• Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition,
  Michael P. Wellman, Amy Greenwald, and Peter Stone.
  MIT Press, 2007.
  Available from Details     BibTeX     Download: (unavailable)

• Empirical Studies in Action Selection for Reinforcement Learning.
  Shimon Whiteson, Matthew E. Taylor, and Peter Stone.
  Adaptive Behavior, 15(1):33–50, March 2007.
  Details     BibTeX     Download: [pdf] (828.6kB )  [ps] (1.5MB )  

• Adaptive Tile Coding for Value Function Approximation.
  Shimon Whiteson, Matthew E. Taylor, and Peter Stone.
  Technical Report AI-TR-07-339, University of Texas at Austin, 2007.
  Details     BibTeX     Download: [pdf] (329.4kB )  [ps] (942.5kB )  

• Machine Learning for On-Line Hardware Reconfiguration.
  Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin.
  In The 20th International Joint Conference on Artificial Intelligence, pp. 1113–1118, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (98.6kB )  [ps] (191.7kB )  

• Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots.
  Mazda Ahmadi and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 580–85, July 2006.
  AAAI 2006.
  Additional details on the distributed "biconnected check" can be found in Keeping in Touch: A Distributed Check for Biconnected Structure by Homogeneous Robots in the 2006 International Symposium on Distributed Autonomous Robotic Systems (DARS 2006).
  Details     BibTeX     Download: [pdf] (105.0kB )  [ps] (128.8kB )  

• A Multi-Robot System for Continuous Area Sweeping Tasks.
  Mazda Ahmadi and Peter Stone.
  In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1724–1729, May 2006.
  Some videos of the robot referenced in the paper.
  ICRA 2006
  Details     BibTeX     Download: [pdf] (171.3kB )  [ps] (314.6kB )  

• Value Function Transfer for General Game Playing.
  Bikramjit Banerjee, Gregory Kuhlmann, and Peter Stone.
  In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006.
  ICML 2006 workshop on Structural Knowledge Transfer for Machine Learning
  Details     BibTeX     Download: [pdf] (172.9kB )  [ps] (464.0kB )  

• Multiagent Traffic Management: Opportunities for Multiagent Learning.
  Kurt Dresner and Peter Stone.
  In K. Tuyls et al., editors, LAMAS 2005, Lecture Notes in Artificial Intelligence, pp. 129–138, Springer Verlag, Berlin, 2006.
  LAMAS-05.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (81.4kB )  [ps] (168.2kB )  

• Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management.
  Kurt Dresner and Peter Stone.
  In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006.
  ATT 2006.
  The project page with videos from the paper.
  Details     BibTeX     Download: [pdf] (227.5kB )  [ps] (376.8kB )  

• Automatic Heuristic Construction in a Complete General Game Player.
  Gregory Kuhlmann, Kurt Dresner, and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1457–62, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (124.1kB )  [ps] (156.2kB )  

• Know Thine Enemy: A Champion RoboCup Coach Agent.
  Gregory Kuhlmann, William B. Knox, and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463–68, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (126.0kB )  [ps] (286.1kB )  

• Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping.
  Yaxin Liu and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 415–20, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (151.7kB )  [ps] (1.6MB )  

• Adaptive Mechanism Design: A Metalearning Approach.
  David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak.
  In The Eighth International Conference on Electronic Commerce, pp. 92–102, August 2006.
  ICEC 2006. Contains material from Adaptive Auctions: Learning to Adjust to Bidders, Workshop on Information Technologies and Systems (WITS), 2005.
  Details     BibTeX     Download: [pdf] (334.2kB )  [ps] (511.6kB )  

• TacTex-2005: A Champion Supply Chain Management Agent.
  David Pardoe and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1489–94, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (200.7kB )  [ps] (196.5kB )  

• Predictive Planning for Supply Chain Management.
  David Pardoe and Peter Stone.
  In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006.
  ICAPS 2006
  Details     BibTeX     Download: [pdf] (366.2kB )  [ps] (950.9kB )  

• Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data.
  Mohan Sridharan and Peter Stone.
  In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2006.
  ICARCV 2006
  Details     BibTeX     Download: [pdf] (444.1kB )  [ps] (2.3MB )  

• From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty.
  Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong.
  Robotics and Autonomous Systems , 54(11):933–43, November 2006. Special issue on Planning Under Uncertainty in Robotics.
  Official versionfrom the RAS publisher's webpage.
  Details     BibTeX     Download: [pdf] (260.5kB )  [ps] (3.6MB )  

• Keepaway Soccer: From Machine Learning Testbed to Benchmark.
  Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu.
  In Itsuki Noda, Adam Jacoff, Ansgar Bredenfeld, and Yasutake Takahashi, editors, RoboCup-2005: Robot Soccer World Cup IX, pp. 93–105, Springer Verlag, Berlin, 2006.
  Some simulations of keepaway referenced in the paper and keepaway software.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (567.7kB )  [ps] (2.3MB )  

• The UT Austin Villa 2006 RoboCup Four-Legged Team.
  Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharan, and Shao-en Yu.
  Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2006.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2006.html#06-337
  Details     BibTeX     Download: [pdf] (123.7kB )  [ps] (127.2kB )  

• Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot.
  Daniel Stronger and Peter Stone.
  Connection Science, 18(2):97–119, 2006. Special Issue on Developmental Robotics.
  Connection Science Journal. Contains material that was previously published in an ICRA-2005 paper.
  Details     BibTeX     Download: [pdf] (372.6kB )  [ps] (1.4MB )  

• Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms.
  Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, and Benjamin Kuipers.
  In Proceedings of the Genetic and Evolutionary Computation Conference, July 2006.
  GECCO 2006
  Details     BibTeX     Download: [pdf] (214.6kB )  [ps] (813.6kB )  

• Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning.
  Matthew Taylor, Shimon Whiteson, and Peter Stone.
  In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321–28, July 2006.
  BEST PAPER AWARD at GECCO 2006
  Details     BibTeX     Download: [pdf] (235.9kB )  [ps] (562.2kB )  

• Evolutionary Function Approximation for Reinforcement Learning.
  Shimon Whiteson and Peter Stone.
  Journal of Machine Learning Research, 7:877–917, May 2006.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (1.7MB )  [ps] (6.1MB )  

• Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning.
  Shimon Whiteson and Peter Stone.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518–23, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (316.7kB )  [ps] (2.7MB )  

• On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains.
  Shimon Whiteson and Peter Stone.
  In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577–84, July 2006.
  GECCO 2006
  Details     BibTeX     Download: [pdf] (754.2kB )  [ps] (1.4MB )  

• Adapting to Workload Changes Through On-The-Fly Reconfiguration.
  Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin.
  Technical Report UT-AI-TR-06-330, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2006.
  At ftp://ftp.cs.utexas.edu/pub/AI-Lab/tech-reports/UT-AI-TR-06-330.pdf
  Details     BibTeX     Download: (unavailable)

• Continuous Area Sweeping: A Task Definition and Initial Approach.
  Mazda Ahmadi and Peter Stone.
  In The 12th International Conference on Advanced Robotics, July 2005.
  Some videos of the robot referenced in the paper.
  ICAR 2005
  Details     BibTeX     Download: [pdf] (186.7kB )  [ps] (243.1kB )  

• Multiagent Traffic Management: An Improved Intersection Control Mechanism.
  Kurt Dresner and Peter Stone.
  In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, ACM Press, New York, NY, July 2005.
  Some videos referenced in the paper. The main project page
  Extended version citable as University of Texas at Austin AI lab technical report number UT-AI-TR-04-315
  AAMAS-2005
  Details     BibTeX     Download: [pdf] (143.5kB )  [ps] (216.7kB )  

• State Abstraction Discovery from Irrelevant State Variables.
  Nicholas K. Jong and Peter Stone.
  In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, pp. 752–757, August 2005.
  Details     BibTeX     Download: [pdf] (102.1kB )  [ps] (249.8kB )  

• Bayesian Models of Nonstationary Markov Decision Problems.
  Nicholas K. Jong and Peter Stone.
  In IJCAI 2005 workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, August 2005.
  Workshop webpage.
  Details     BibTeX     Download: [pdf] (42.4kB )  

• The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach.
  Gregory Kuhlmann, Peter Stone, and Justin Lallinger.
  In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 636–644, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (112.7kB )  [ps] (287.8kB )  

• Developing Adaptive Auction Mechanisms.
  David Pardoe and Peter Stone.
  ACM SIGecom Exchanges, 5(3):1–10, April 2005.
  SIGecom Exchanges
  Details     BibTeX     Download: [pdf] (155.6kB )  [ps] (212.4kB )  

• Bidding for Customer Orders in TAC SCM.
  David Pardoe and Peter Stone.
  In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), Lecture Notes in Artificial Intelligence, pp. 143–157, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (174.3kB )  [ps] (283.8kB )  

• Three Automated Stock-Trading Agents: A Comparative Study.
  Alexander Sherstov and Peter Stone.
  In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), Lecture Notes in Artificial Intelligence, pp. 173–187, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (167.0kB )  [ps] (248.6kB )  

• Function Approximation via Tile Coding: Automating Parameter Choice.
  Alexander A. Sherstov and Peter Stone.
  In J.-D. Zucker and I. Saitta, editors, SARA 2005, Lecture Notes in Artificial Intelligence, pp. 194–205, Springer Verlag, Berlin, 2005.
  SARA-05.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (187.7kB )  [ps] (583.4kB )  [slides.pdf] (193.7kB )  

• Improving Action Selection in MDP's via Knowledge Transfer.
  Alexander A. Sherstov and Peter Stone.
  In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (205.5kB )  [ps] (774.2kB )  

• Towards Illumination Invariance in the Legged League.
  Mohan Sridharan and Peter Stone.
  In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 196–208, Springer Verlag, Berlin, 2005.
  Some videos of robots referenced in the paper.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (245.1kB )  [ps] (2.1MB )  

• Autonomous Color Learning on a Mobile Robot.
  Mohan Sridharan and Peter Stone.
  In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  Some videos of the robot referenced in the paper.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (901.5kB )  [ps] (6.4MB )  

• Real-Time Vision on a Mobile Robot Platform.
  Mohan Sridharan and Peter Stone.
  In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), August 2005.
  Some videos of the robot referenced in the paper.
  IROS-2005
  Details     BibTeX     Download: [pdf] (396.1kB )  [ps] (5.0MB )  

• Practical Vision-Based Monte Carlo Localization on a Legged Robot.
  Mohan Sridharan, Gregory Kuhlmann, and Peter Stone.
  In IEEE International Conference on Robotics and Automation, April 2005.
  ICRA 2005
  Details     BibTeX     Download: [pdf] (217.6kB )  [ps] (2.0MB )  

• The UT Austin Villa 2005 RoboCup Four-Legged Team.
  Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger.
  Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2005.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2005.html#05-325
  Details     BibTeX     Download: [pdf] (186.2kB )  [ps] (243.4kB )  

• A Model-Based Approach to Robot Joint Control.
  Daniel Stronger and Peter Stone.
  In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 297–309, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (235.3kB )  [ps] (489.4kB )  

• Value Functions for RL-Based Behavior Transfer: A Comparative Study.
  Matthew E. Taylor, Peter Stone, and Yaxin Liu.
  In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (147.3kB )  [ps] (449.9kB )  

• Behavior Transfer for Value-Function-Based Reinforcement Learning.
  Matthew E. Taylor and Peter Stone.
  In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 53–59, ACM Press, New York, NY, July 2005.
  AAMAS-2005
  Details     BibTeX     Download: [pdf] (230.4kB )  [ps] (620.1kB )  

• Evolving Keepaway Soccer Players through Task Decomposition.
  Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone.
  Machine Learning, 59(1):5–30, May 2005.
  Some videos of the agents before and after learning referenced in the paper.
  The publisher's official version
  An earlier version appeared in the proceedings of The Genetic and Evolutionary Computation Conference 2003 (GECCO-2003)
  Details     BibTeX     Download: [pdf] (278.8kB )  [ps] (566.8kB )  

• Automatic Feature Selection via Neuroevolution.
  Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl.
  In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
  Details     BibTeX     Download: [pdf] (181.4kB )  [ps] (1.6MB )  

• Towards Self-Configuring Hardware for Distributed Computer Systems.
  Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, and Mike Dahlin.
  In The Second International Conference on Autonomic Computing, pp. 241–249, June 2005.
  ICAC-05
  A revised version of the paper appeared on IBM's Developer Works website
  Details     BibTeX     Download: [pdf] (74.0kB )  [ps] (104.6kB )  

• Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism.
  Kurt Dresner and Peter Stone.
  In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530–537, July 2004.
  Some simulations of cars driving through intersections referenced in the paper. The main project page
  AAMAS-2004
  Details     BibTeX     Download: [pdf] (233.8kB )  [ps] (492.0kB )  

• Two Stock-Trading Agents: Market Making and Technical Analysis.
  Yi Feng, Ronggang Yu, and Peter Stone.
  In Peyman Faratin, David C. Parkes, Juan A. Rodriguez-Aguilar, and William E. Walsh, editors, Agent Mediated Electronic Commerce V: Designing Mechanisms and Systems, Lecture Notes in Artificial Intelligence, pp. 18–36, Springer Verlag, 2004.
  AMEC-2003
  Details     BibTeX     Download: [pdf] (512.0kB )  [ps] (912.4kB )  

• Machine Learning for Fast Quadrupedal Locomotion.
  Nate Kohl and Peter Stone.
  In The Nineteenth National Conference on Artificial Intelligence, pp. 611–616, July 2004.
  Some videos of walking robots referenced in the paper.
  AAAI 2004
  Details     BibTeX     Download: [pdf] (210.0kB )  [ps] (1.4MB )  

• Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion.
  Nate Kohl and Peter Stone.
  In Proceedings of the IEEE International Conference on Robotics and Automation, May 2004.
  Some videos of walking robots referenced in the paper.
  ICRA 2004
  Details     BibTeX     Download: [pdf] (301.5kB )  [ps] (3.2MB )  

• Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer.
  Gregory Kuhlmann, Peter Stone, Raymond Mooney, and Jude Shavlik.
  In The AAAI-2004 Workshop on Supervisory Control of Learning and Adaptive Systems, July 2004.
  Details     BibTeX     Download: [pdf] (170.3kB )  [ps] (498.2kB )  

• TacTex-03: A Supply Chain Management Agent.
  David Pardoe and Peter Stone.
  ACM SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, 4(3):19–28, Winter 2004.
  SIGecom Exchanges
  Extended version citable as University of Texas at Austin AI lab technical report number UT-AI-TR-04-308.
  Details     BibTeX     Download: [pdf] (145.3kB )  [ps] (161.6kB )  

• Using RoboCup in university-level computer science education.
  Elizabeth Sklar, Simon Parsons, and Peter Stone.
  Journal on Educational Resources in Computing, 4(2), June 2004. Special issue on robotics in undergraduate education. Part 1
  Available from the publisher's webpage
  JERIC
  Details     BibTeX     Download: (unavailable)

• The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age.
  Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger.
  Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2004.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2004.html#04-313
  Details     BibTeX     Download: [pdf] (555.3kB )  [ps] (1.6MB )  

• The UT Austin Villa 2003 Four-Legged Team.
  Peter Stone, Kurt Dresner, Selim T. Erdo\ugan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan.
  In Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Springer Verlag, Berlin, 2004.
  Extended version (technical report with full details: "UT Austin Villa 2003: A New RoboCup Four-Legged Team").
  Details     BibTeX     Download: [pdf] (201.5kB )  [ps] (170.3kB )  

• Adaptive Job Routing and Scheduling.
  Shimon Whiteson and Peter Stone.
  Engineering Applications of Artificial Intelligence, 17(7):855–69, October 2004. Special issue on Autonomic Computing and Automation
  Available from the publisher's webpage
  The version from this page corrects a minor error in the published version.
  An earlier version appeared in the proceedings of The Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI 2004)
  Details     BibTeX     Download: [pdf] (664.7kB )  [ps] (1.1MB )  

AFOSR

• Adversarial Intrinsic Motivation for Reinforcement Learning.
  Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone.
  In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021.
  slides and video presentation
  Details     BibTeX     Download: [pdf] (5.1MB )  

• Reducing Sampling Error in Policy Gradient Learning.
  Josiah Hanna and Peter Stone.
  In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2019.
  This paper contains material that was previously presented at the 2018 NeurIPS Deep Reinforcement Learning Workshop.
  Details     BibTeX     Download: [pdf] (1.5MB )  [slides.pdf] (3.1MB )  

• Imitation Learning from Video by Leveraging Proprioception.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pptx] (20.3MB )  

• Recent Advances in Imitation Learning from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (157.4kB )  [slides.pptx] (45.5MB )  

• Generative Adversarial Imitation from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (1.0MB )  

• Sample-efficient Adversarial Imitation Learning from Observation.
  Faraz Torabi, Sean Geiger, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (6.1MB )  

• Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
  Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (471.1kB )  [slides.pdf] (1.2MB )  

• Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity Inspired by Network Science.
  Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, and Antonio Liotta.
  Nature Communications, 9(2383), June 2018.
  Official version from Publisher's Webpage.
  Details     BibTeX     Download: [pdf] (1.5MB )  

• Marginal Cost Pricing for System Optimal Traffic Assignment with Recourse under Supply-Side Uncertainty.
  Tarun Rambha, Stephen D. Boyles, Avinash Unnikrishnan, and Peter Stone.
  Transportation Research Part B: Methodological, 110:104–21, 2018.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms?.
  Michael Albert, Vincent Conitzer, and Peter Stone.
  In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS-17), May 2017.
  Details     BibTeX     Download: [pdf] (348.6kB )  [slides.pdf] (2.8MB )  

• Automated Design of Robust Mechanisms.
  Michael Albert, Vincent Conitzer, and Peter Stone.
  In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), Feb 2017.
  Details     BibTeX     Download: [pdf] (366.4kB )  [slides.pdf] (2.7MB )  

• Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial.
  Stefano Albrecht, Somchaya Liemhetcharat, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, 31(4):765–66, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (304.3kB )  

• Reasoning about Hypothetical Agent Behaviours and their Parameters.
  Stefano Albrecht and Peter Stone.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-17), May 2017.
  Available from IFAAMAS and from ACM
  Details     BibTeX     Download: [pdf] (608.2kB )  [slides.pdf] (1.2MB )  

• Three Years of the RoboCup Standard Platform League Drop-in Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition.
  Katie Genter, Tim Laue, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems (JAAMAS), 31(4):790–820, Springer, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (1.2MB )  

• CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression.
  Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, and Peter Stone.
  In Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '17), July 2017.
  Details     BibTeX     Download: [pdf] (241.6kB )  

• Data-Efficient Policy Evaluation Through Behavior Policy Search.
  Josiah Hanna, Philip Thomas, Peter Stone, and Scott Niekum.
  In Proceedings of the 34th International Conference on Machine Learning (ICML), August 2017.
  Details     BibTeX     Download: [pdf] (1.2MB )  [slides.pdf] (1.1MB )  

• Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
  Josiah Hanna, Peter Stone, and Scott Niekum.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
  Details     BibTeX     Download: [pdf] (663.8kB )  [ps] (572.6kB )  [slides.pdf] (1.3MB )  

• Grounded Action Transformation for Robot Learning in Simulation.
  Josiah Hanna and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (1.3MB )  [slides.pdf] (1.3MB )  

• Machine Learning Capabilities of a Simulated Cerebellum.
  Matthew Hausknecht, Wen-Ke Li, Michael Mauk, and Peter Stone.
  "IEEE Transactions on Neural Networks and Learning Systems", 28(3):510–22, March 2017.
  Details     BibTeX     Download: [pdf] (1.1MB )  

• BWIBots: A platform for bridging the gap between AI and human--robot interaction research.
  Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond Mooney, and Peter Stone.
  The International Journal of Robotics Research, 36(5--7):635–59, 2017.
  Accompanying videos at https://youtu.be/2UJG4-ejVww
  Details     BibTeX     Download: [pdf] (4.4MB )  

• Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests.
  Piyush Khandelwal and Peter Stone.
  In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
  Details     BibTeX     Download: [pdf] (1.8MB )  

• Designing Better Playlists with Monte Carlo Tree Search.
  Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, and Peter Stone.
  In Proceedings of the Twenty-Ninth Conference On Innovative Applications Of Artificial Intelligence (IAAI-17), February 2017.
  Details     BibTeX     Download: [pdf] (377.0kB )  

• Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges.
  Patrick MacAlpine and Peter Stone.
  In Gita Sukthankar and Juan A. Rodriguez-Aguilar, editors, Autonomous Agents and Multiagent Systems, AAMAS 2017 Workshops, Best Papers, Lecture Notes in Artificial Intelligence, pp. 168–86, Springer International Publishing, 2017.
  Details     BibTeX     Download: [pdf] (518.7kB )  [ps] (2.6MB )  [slides.pdf] (45.5MB )  

• Fast and Precise Black and White Ball Detection for RoboCup Soccer.
  Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, and Peter Stone.
  In RoboCup-2017: Robot Soccer World Cup XXI, pp. 45–59, Springer, July 2017.
  Details     BibTeX     Download: [pdf] (254.2kB )  [ps] (716.1kB )  [slides.pdf] (1.5MB )  

• Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning.
  Sanmit Narvekar, Jivko Sinapov, and Peter Stone.
  In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), August 2017.
  Details     BibTeX     Download: [pdf] (826.2kB )  [slides.pdf] (5.8MB )  

• Network-wide Adaptive Tolling for Connected and Automated vehicles.
  Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone.
  Transportation Research Part C, 84:142–157, September 2017.
  Transportation Research Part C.
  Audio slides.
  Contains material that was previously published in an AAMAS-17 paper.
  Details     BibTeX     Download: [pdf] (2.8MB )  [ps] (4.2MB )  

• A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections.
  Guni Sharon and Peter Stone.
  In Gita Sukthankar and Juan A. Rodriguez-Aguilar, editors, Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Best Papers, Lecture Notes in Artificial Intelligence, pp. 151–67, Springer International Publishing, 2017.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (7.1MB )  [slides.pptx] (140.9MB )  

• Automatic Curriculum Graph Generation for Reinforcement Learning Agents.
  Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (2.0MB )  

• Multirobot Symbolic Planning under Temporal Uncertainty.
  Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone.
  In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS), May 2017.
  Accompanying videos at https://youtu.be/ADbH3sppLHQ
  Details     BibTeX     Download: [pdf] (2.3MB )  

• Dynamically Constructed (PO)MDPs for Adaptive Robot Planning.
  Shiqi Zhang, Piyush Khandelwal, and Peter Stone.
  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), February 2017.
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Making Friends on the Fly: Cooperating with New Teammates.
  Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone.
  Artificial Intelligence, October 2016.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (917.9kB )  

• State Aggregation through Reasoning in Answer Set Programming.
  Ginevra Gaudioso, Matteo Leonetti, and Peter Stone.
  In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR 16), July 2016.
  Details     BibTeX     Download: [pdf] (776.6kB )  

• Ad Hoc Teamwork Behaviors for Influencing a Flock.
  Katie Genter and Peter Stone.
  Acta Polytechnica, 56(1), 2016.
  Details     BibTeX     Download: [pdf] (421.5kB )  [ps] (1.6MB )  

• Adding Influencing Agents to a Flock.
  Katie Genter and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16), May 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (4.5MB )  [slides.pdf] (433.7kB )  

• Collaboration in Ad Hoc Teamwork: Ambiguous Tasks, Roles, and Communication.
  Jonathan Grizou, Samuel Barrett, Manuel Lopes, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (339.0kB )  

• Minimum Cost Matching for Autonomous Carsharing.
  Josiah P. Hanna, Michael Albert, Donna Chen, and Peter Stone.
  In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), June 2016.
  Details     BibTeX     Download: [pdf] (117.5kB )  [ps] (355.2kB )  [slides.pdf] (4.7MB )  

• Deep Reinforcement Learning in Parameterized Action Space.
  Matthew Hausknecht and Peter Stone.
  In Proceedings of the International Conference on Learning Representations (ICLR), May 2016.
  Details     BibTeX     Download: [pdf] (468.3kB )  

• Grounded Semantic Networks for Learning Shared Communication Protocols.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning, NIPS Workshop, December 2016.
  Details     BibTeX     Download: [pdf] (899.9kB )  

• On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning: Frontiers and Challenges, IJCAI Workshop, July 2016.
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork.
  Matthew Hausknecht, Prannoy Mupparaju, Sandeep Subramanian, Shivaram Kalyanakrishnan, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (253.9kB )  

• Deep Imitation Learning for Parameterized Action Spaces.
  Matthew Hausknecht, Yilun Chen, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (483.4kB )  

• On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search.
  Piyush Khandelwal, Elad Liebman, Scott Niekum, and Peter Stone.
  In Proceedings of The 33rd International Conference on Machine Learning, pp. 1319–1328, June 2016.
  Details     BibTeX     Download: [pdf] (1.3MB )  [slides.pdf] (1.7MB )  

• A synthesis of automated planning and reinforcement learning for efficient, robust decision-making.
  Matteo Leonetti, Luca Iocchi, and Peter Stone.
  Artificial Intelligence, 241:103 – 130, September 2016.
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Impact of Music on Decision Making in Quantitative Tasks.
  Elad Liebman, Peter Stone, and Corey N. White.
  In 17th International Society for Music Information retrieval Conference (ISMIR), August 2016.
  Details     BibTeX     Download: [pdf] (591.1kB )  [slides.pdf] (678.6kB )  

• Source Task Creation for Curriculum Learning.
  Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016.
  Details     BibTeX     Download: [pdf] (630.0kB )  [slides.pdf] (10.2MB )  

• Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors.
  Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, and Peter Stone.
  In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), July 2016.
  Details     BibTeX     Download: [pdf] (6.6MB )  [slides.pdf] (5.2MB )  

• Learning Multi-Modal Grounded Linguistic Semantics by Playing I Spy.
  Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, and Raymond Mooney.
  In Proceedings of the 25th international joint conference on Artificial Intelligence (IJCAI), July 2016.
  Demo Video
  Details     BibTeX     Download: [pdf] (3.1MB )  [slides.pdf] (1.0MB )  

• An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
  Details     BibTeX     Download: [pdf] (11.9MB )  

• Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), February 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  

• When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
  Fei Fang, Peter Stone, and Milind Tambe.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2015.
  Winner of Computational Sustainability Track Outstanding Paper Award at IJCAI 2015
  Details     BibTeX     Download: [pdf] (456.7kB )  [ps] (983.9kB )  [slides.pptx] (6.2MB )  

• Determining Placements of Influencing Agents in a Flock.
  Katie Genter, Shun Zhang, and Peter Stone.
  In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), May 2015.
  Details     BibTeX     Download: [pdf] (426.7kB )  [ps] (1.4MB )  [slides.pdf] (1.6MB )  

• The Impact of Determinism on Learning Atari 2600 Games.
  Matthew Hausknecht and Peter Stone.
  In AAAI Workshop on Learning for General Competency in Video Games, January 2015.
  Details     BibTeX     Download: [pdf] (65.1kB )  

• Deep Recurrent Q-Learning for Partially Observable MDPs.
  Matthew Hausknecht and Peter Stone.
  In AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents (AAAI-SDMIA15), November 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [slides.pdf] (3.8MB )  

• Representative Selection in Nonmetric Datasets.
  Elad Liebman, Benny Chor, and Peter Stone.
  "Applied Artificial Intelligence", 29:807–838, 2015.
  Details     BibTeX     Download: [pdf] (846.3kB )  

• DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
  Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (38.4MB )  [slides.pdf] (2.6MB )  

• Monte Carlo Hierarchical Model Learning.
  Jacob Menashe and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (693.2kB )  [ps] (18.4MB )  

• Learning Inter-Task Transferability in the Absence of Target Task Samples.
  Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone.
  In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015.
  Details     BibTeX     Download: [pdf] (337.2kB )  

• Influencing a Flock via Ad Hoc Teamwork.
  Katie Genter and Peter Stone.
  In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), September 2014.
  Details     BibTeX     Download: [pdf] (358.4kB )  [ps] (1.4MB )  [slides.pdf] (15.3MB )  

• Role-Based Ad Hoc Teamwork.
  Katie Genter, Noa Agmon, and Peter Stone.
  In Gita Sukthankar, Robert P. Goldman, Christopher Geib, David V. Pyhadath, and Hung Hai Bui, editors, Plan, Activity, and Intent Recognition: Theory and Practice, pp. 251–272, Elsevier, Philadelphia, PA, USA, 2013.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (1.6MB )  

AFRL

• Imitation Learning from Video by Leveraging Proprioception.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pptx] (20.3MB )  

• Recent Advances in Imitation Learning from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (157.4kB )  [slides.pptx] (45.5MB )  

• Generative Adversarial Imitation from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (1.0MB )  

• Sample-efficient Adversarial Imitation Learning from Observation.
  Faraz Torabi, Sean Geiger, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
  Details     BibTeX     Download: [pdf] (6.1MB )  

• Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
  Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (471.1kB )  [slides.pdf] (1.2MB )  

• Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial.
  Stefano Albrecht, Somchaya Liemhetcharat, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, 31(4):765–66, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (304.3kB )  

• Three Years of the RoboCup Standard Platform League Drop-in Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition.
  Katie Genter, Tim Laue, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems (JAAMAS), 31(4):790–820, Springer, July 2017.
  Official version from Publisher's Webpage
  Details     BibTeX     Download: [pdf] (1.2MB )  

• Ad Hoc Teamwork Behaviors for Influencing a Flock.
  Katie Genter and Peter Stone.
  Acta Polytechnica, 56(1), 2016.
  Details     BibTeX     Download: [pdf] (421.5kB )  [ps] (1.6MB )  

• Adding Influencing Agents to a Flock.
  Katie Genter and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16), May 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (4.5MB )  [slides.pdf] (433.7kB )  

• Collaboration in Ad Hoc Teamwork: Ambiguous Tasks, Roles, and Communication.
  Jonathan Grizou, Samuel Barrett, Manuel Lopes, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (339.0kB )  

• Minimum Cost Matching for Autonomous Carsharing.
  Josiah P. Hanna, Michael Albert, Donna Chen, and Peter Stone.
  In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), June 2016.
  Details     BibTeX     Download: [pdf] (117.5kB )  [ps] (355.2kB )  [slides.pdf] (4.7MB )  

• Deep Reinforcement Learning in Parameterized Action Space.
  Matthew Hausknecht and Peter Stone.
  In Proceedings of the International Conference on Learning Representations (ICLR), May 2016.
  Details     BibTeX     Download: [pdf] (468.3kB )  

• Grounded Semantic Networks for Learning Shared Communication Protocols.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning, NIPS Workshop, December 2016.
  Details     BibTeX     Download: [pdf] (899.9kB )  

• On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning.
  Matthew Hausknecht and Peter Stone.
  In Deep Reinforcement Learning: Frontiers and Challenges, IJCAI Workshop, July 2016.
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork.
  Matthew Hausknecht, Prannoy Mupparaju, Sandeep Subramanian, Shivaram Kalyanakrishnan, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (253.9kB )  

• Deep Imitation Learning for Parameterized Action Spaces.
  Matthew Hausknecht, Yilun Chen, and Peter Stone.
  In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2016.
  Details     BibTeX     Download: [pdf] (483.4kB )  

• Source Task Creation for Curriculum Learning.
  Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016.
  Details     BibTeX     Download: [pdf] (630.0kB )  [slides.pdf] (10.2MB )  

• An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
  Details     BibTeX     Download: [pdf] (11.9MB )  

• Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market.
  Daniel Urieli and Peter Stone.
  In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), February 2016.
  Details     BibTeX     Download: [pdf] (1.2MB )  

• When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
  Fei Fang, Peter Stone, and Milind Tambe.
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2015.
  Winner of Computational Sustainability Track Outstanding Paper Award at IJCAI 2015
  Details     BibTeX     Download: [pdf] (456.7kB )  [ps] (983.9kB )  [slides.pptx] (6.2MB )  

• Determining Placements of Influencing Agents in a Flock.
  Katie Genter, Shun Zhang, and Peter Stone.
  In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), May 2015.
  Details     BibTeX     Download: [pdf] (426.7kB )  [ps] (1.4MB )  [slides.pdf] (1.6MB )  

• The Impact of Determinism on Learning Atari 2600 Games.
  Matthew Hausknecht and Peter Stone.
  In AAAI Workshop on Learning for General Competency in Video Games, January 2015.
  Details     BibTeX     Download: [pdf] (65.1kB )  

• Deep Recurrent Q-Learning for Partially Observable MDPs.
  Matthew Hausknecht and Peter Stone.
  In AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents (AAAI-SDMIA15), November 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [slides.pdf] (3.8MB )  

• How Music Alters Decision Making: Impact of Music Stimuli on Emotional Classification.
  Elad Liebman, Peter Stone, and Corey N. White.
  In 16th International Society for Music Information retrieval Conference (ISMIR), October 2015.
  Details     BibTeX     Download: [pdf] (832.6kB )  [ps] (6.3MB )  [slides.pdf] (2.0MB )  

• DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
  Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (38.4MB )  [slides.pdf] (2.6MB )  

• Monte Carlo Hierarchical Model Learning.
  Jacob Menashe and Peter Stone.
  In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
  Details     BibTeX     Download: [pdf] (693.2kB )  [ps] (18.4MB )  

• Learning Inter-Task Transferability in the Absence of Target Task Samples.
  Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone.
  In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015.
  Details     BibTeX     Download: [pdf] (337.2kB )  

• Influencing a Flock via Ad Hoc Teamwork.
  Katie Genter and Peter Stone.
  In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), September 2014.
  Details     BibTeX     Download: [pdf] (358.4kB )  [ps] (1.4MB )  [slides.pdf] (15.3MB )  

• Role-Based Ad Hoc Teamwork.
  Katie Genter, Noa Agmon, and Peter Stone.
  In Gita Sukthankar, Robert P. Goldman, Christopher Geib, David V. Pyhadath, and Hung Hai Bui, editors, Plan, Activity, and Intent Recognition: Theory and Practice, pp. 251–272, Elsevier, Philadelphia, PA, USA, 2013.
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (1.6MB )  

ARL

• Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
  Eddy Hudson, Garrett Warnell, Faraz Torabi, and Peter Stone.
  In International Conference on Robotics and Automation (ICRA), May 2022.
  Presentation Video
  Details     BibTeX     Download: [pdf] (2.5MB )  

• Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer.
  Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, and Peter Stone.
  In Proceedings of the RoboCup Symposium, 2022, July 2022.
  Details     BibTeX     Download: [pdf] (556.2kB )  

• Causal Dynamics Learning for Task-Independent State Abstraction.
  Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, and Peter Stone.
  In Proceedings of the 39th International Conference on Machine Learning (ICML2022), July 2022.
  recorded presentation
  Details     BibTeX     Download: [pdf] (4.2MB )  [slides.pdf] (4.0MB )  [poster.pdf] (1.6MB )  

• APPL: Adaptive Planner Parameter Learning.
  Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, abd Gauraang Dhamankar, Anirudh Nair, Garrett Warnell, and Peter Stone.
  Robotics and Autonomous Systems, May 2022.
  Details     BibTeX     Download: [pdf] (2.6MB )  

• Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey.
  Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  Autonomous Robots, 46:569–97, March 2022.
  Details     BibTeX     Download: [pdf] (1.3MB )  

• Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization.
  Michael Albert, Vincent Conitzer, Giuseppe Lopomo, and Peter Stone.
  Operations Research, March 2021.
  Details     BibTeX     Download: [pdf] (692.5kB )  

• Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
  Roberto Capobianco, Varun Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer Fox, Lauren Meyers, Peter R. Wurman, and Peter Stone.
  The Journal of Artificial Intelligence Research (JAIR), 71:953–92, August 2021.
  Contains material that was previously published in an AAMAS 2021 paper and a AAAI 2020 Fall Symposium paper.
  Article available from JAIR website.
  Simulator source code.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy.
  Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, and Matthew E. Taylor.
  Neural Computing and Applications, May 2021.
  Details     BibTeX     Download: [pdf] (2.2MB )  

• Adversarial Intrinsic Motivation for Reinforcement Learning.
  Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone.
  In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021.
  slides and video presentation
  Details     BibTeX     Download: [pdf] (5.1MB )  

• Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy.
  Josiah P. Hanna, Scott Niekum, and Peter Stone.
  Machine Learning (MLJ), 110:1267–1317, May 2021.
  Details     BibTeX     Download: [pdf] (3.7MB )  

• Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation.
  Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin Hart, and Peter Stone.
  In Proceedings of the International Conference on Robotics and Automation (ICRA 202), May 2021.
  Details     BibTeX     Download: [pdf] (5.7MB )  

• RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning.
  Eddy Hudson, Garrett Warnell, and Peter Stone.
  In Autonomous Robots and Multirobot Systems Workshop at the 20th International Conference onAutonomous Agents and Multiagent Systems (AAMAS 2021), May 2021.
  Details     BibTeX     Download: [pdf] (393.0kB )  

• Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks.
  Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone.
  In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.
  Details     BibTeX     Download: [pdf] (1.8MB )  [slides.pdf] (1.8MB )  

• Policy Evaluation in Continuous MDPs with Efficient Kernelized Gradient Temporal Difference.
  Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, and Alejandro Ribeiro.
  IEEE Transactions on Automatic Control, 66(4):1856–63, April 2021.
  official online version
  Details     BibTeX     Download: [pdf] (648.8kB )  

• APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.
  Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), October 2021.
  5-minute Video Presentation; 15-minute Video Presentation
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pdf] (2.7MB )  

• From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.
  Zizhao Wang, Xuesu Xiao, Alexander J Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, and Peter Stone.
  In Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021), October 2021.
  1-minute Video Summary; 15-minute Video Presentation
  Details     BibTeX     Download: [pdf] (2.9MB )  [slides.pdf] (2.7MB )  

• APPLI: Adaptive Planner Parameter Learning From Interventions.
  Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), May 2021.
  Video presentation
  Details     BibTeX     Download: [pdf] (4.2MB )  

• Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain.
  Xuesu Xiao, Joydeep Biswas, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), July 2021.
  Contains material that was previously presented in an ICRA21 workshop paper Video
  Details     BibTeX     Download: [pdf] (3.2MB )  [slides.pdf] (23.2MB )  

• Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination.
  Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), January 2021.
  5-minute video demonstration
  Project webpage
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Agile Robot Navigation through Hallucinated Learning and Sober Deployment.
  Xuesu Xiao, Bo Liu, and Peter Stone.
  In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), June 2021.
  Video
  Details     BibTeX     Download: [pdf] (3.1MB )  

• Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks.
  Ruohan Zhang, Faraz Torabi, Garrett Warnell, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, 35(31), June 2021.
  official online version
  Details     BibTeX     Download: [pdf] (3.8MB )  

• An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.
  Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone.
  In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020), December 2020.
  Poster
  Details     BibTeX     Download: [pdf] (1.3MB )  

• Stochastic Grounded Action Transformation for Robot Learning in Simulation.
  Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone.
  In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 2020.
  11-minute video presentation.
  Details     BibTeX     Download: [pdf] (1.9MB )  

• Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning.
  Ishan Durugkar, Elad Liebman, and Peter Stone.
  In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), July 2020.
  15-minute presentation
  Details     BibTeX     Download: [pdf] (3.9MB )  

• Using Human-Inspired Signals to Disambiguate Navigational Intentions.
  Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone.
  In Proceedings of the 12th International Conference on Social Robotics (ICSR), November 2020.
  Video presentation
  Details     BibTeX     Download: [pdf] (3.2MB )  

• Reinforced Grounded Action Transformation for Sim-to-Real Transfer.
  Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, and Peter Stone.
  In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 2020.
  14-minute video presentation.
  Details     BibTeX     Download: [pdf] (506.6kB )  

• The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation.
  Shih-Yun Lo, Shiqi Zhang, and Peter Stone.
  The Journal of Artificial Intelligence Research (JAIR), 67, October 2020.
  Contains material that was previously published in an AAMAS-18 paper (awarded the Best Robotics Paper Award at AAMAS 2018)
  Also available from JAIR website
  Details     BibTeX     Download: [pdf] (4.0MB )  

• Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.
  Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, and Peter Stone.
  Journal of Machine Learning Research, 21(181):1–50, 2020.
  Details     BibTeX     Download: [pdf] (1.4MB )  

• Generalizing Curricula for Reinforcement Learning.
  Sanmit Narvekar and Peter Stone.
  In 4th Lifelong Learning Workshop at the International Conference on Machine Learning (ICML 2020), July 2020.
  Details     BibTeX     Download: [pdf] (330.4kB )  [slides.pdf] (3.8MB )  

• RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.
  Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), 5:6262–69, October 2020.
  Video of the experiments; 13-minute video presentation.
  Details     BibTeX     Download: [pdf] (405.1kB )  [slides.pptx] (115.4MB )  

• Reducing Sampling Error in Batch Temporal Difference Learning.
  Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone.
  In Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020.
  The paper and talk is available from the ICML 2020 virtual conference page.
  Details     BibTeX     Download: [pdf] (738.4kB )  [slides.pdf] (5.2MB )  

• On Sampling Error in Batch Action-Value Prediction Algorithms.
  Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone.
  In In the Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), December 2020., December 2020.
  5-minute Video Presentation
  Details     BibTeX     Download: [pdf] (327.2kB )  

• Benchmarking Metric Ground Navigation.
  Daniel Perille, Abigail Truong, Xuesu Xiao, and Peter Stone.
  In Proceedings of the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), November 2020.
  Video presentation
  Details     BibTeX     Download: [pdf] (2.1MB )  

• Deep R-Learning for Continual Area Sweeping.
  Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), October 2020.
  1-minute video demonstration; 13-minute Video presentation.
  Details     BibTeX     Download: [pdf] (374.2kB )  [slides.pdf] (1.1MB )  

• APPLD: Adaptive Planner Parameter Learning from Demonstration.
  Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, and Peter Stone.
  IEEE Robotics and Automation Letters (RA-L), June 2020.
  Presented at International Conference on Intelligent Robots and Systems ({IROS})\\ 5-minute Video presentation; 15-minute Video presentation
  Project webpage
  Details     BibTeX     Download: [pdf] (2.2MB )  [slides.pdf] (21.1MB )  

• Ad hoc Teamwork with Behavior Switching Agents.
  Manish Ravula, Shani Alkobi and Peter Stone.
  In International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (350.4kB )  

• Importance Sampling Policy Evaluation with an Estimated Behavior Policy.
  Josiah Hanna, Scott Niekum, and Peter Stone.
  In Proceedings of the 36th International Conference on Machine Learning (ICML), June 2019.
  Details     BibTeX     Download: [pdf] (2.7MB )  [slides.pdf] (4.0MB )  

• Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots.
  Yuqian Jiang, Fangkai Yang, Shiqi Zhang, and Peter Stone.
  In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 2019.
  Details     BibTeX     Download: [pdf] (925.2kB )  

• Open-World Reasoning for Service Robots.
  Yuqian Jiang, Nick Walker, Justin Hart, and Peter Stone.
  In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), July 2019.
  Accompanying video
  Details     BibTeX     Download: [pdf] (813.5kB )  

• The right music at the right time: adaptive personalized playlists based on sequence modeling.
  Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone.
  Management Information Systems Quarterly, 43(3):765–786, Society for Information Management and The Management Information Systems Research Center, 2019.
  Available from publisher's website.
  Details     BibTeX     Download: [pdf] (4.0MB )  

• Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report.
  Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin Hart, Luis Sentis, and Peter Stone.
  In AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments (AI-HRI 2019), November 2019.
  Details     BibTeX     Download: [pdf] (4.5MB )  

• Agents teaching agents: a survey on inter-agent transfer learning.
  Felipe Leno Da Silva, Garrett Warnell, Anna Helena Reali Costa, and Peter Stone.
  Autonomous Agents and Multi-Agent Systems, Dec 2019.
  Official version from JAAMAS
  Details     BibTeX     Download: [pdf] (572.4kB )  

• Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games.
  Felipe Leno Da Silva, Anna Helena Reali Costa, and Peter Stone.
  In Proceedings of the 8th Brazilian Conference on Intelligent Systems (BRACIS), October 2019.
  Details     BibTeX     Download: [pdf] (1.6MB )  

• Imitation Learning from Video by Leveraging Proprioception.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (1.1MB )  [slides.pptx] (20.3MB )  

• Recent Advances in Imitation Learning from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
  Details     BibTeX     Download: [pdf] (157.4kB )  [slides.pptx] (45.5MB )  

• Generative Adversarial Imitation from Observation.
  Faraz Torabi, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
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• Sample-efficient Adversarial Imitation Learning from Observation.
  Faraz Torabi, Sean Geiger, Garrett Warnell, and Peter Stone.
  In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, June 2019.
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• Desiderata for Planning Systems in General-Purpose Service Robots.
  Nick Walker, Yuqian Jiang, Maya Cakmak, and Peter Stone.
  In Proceedings of the ICAPS Workshop on Planning and Robotics (PlanRob 2019), July 2019.
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• Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance.
  Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin Hart, Peter Stone, and Raymond Mooney.
  In International Conference on Social Robotics (ICSR), pp. 133–143, November 2019.
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• Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
  Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, and Peter Stone.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.
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