Other Areas
This category includes papers published in other research areas that either don't fit easily into this hierarchy or are a mix of several methods and techniques.
Subareas:
People
Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Aliza Gold Formerly affiliated Collaborator
Nabil M. Hewahi Formerly affiliated Visitor nhewahi [at] iugaza edu ps
Igor V. Karpov Masters Alumni ikarpov [at] gmail com
Riitta Katila Collaborator rkatila [at] stanford edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Rick Tanney Masters Alumni
Publications
     [Expand to show all 150][Minimize]
Generative AI: An AI Paradigm Shift in the Making? 2024
Risto Miikkulainen, AI Magazine (2024), pp. 1-3. https://doi.org/10.1002/aaai.12155.
Efficient Activation Function Optimization through Surrogate Modeling 2023
Garrett Bingham and Risto Miikkulainen, In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023), 2023.
Evolving Strategies for Competitive Multi-Agent Search 2023
Erkin Bahceci, Riitta Katila, and Risto Miikkulainen, arXiv:2306.10640 (2023).
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model 2022
Xin Qiu and Risto Miikkulainen, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (Also arXiv:2010.02065, which also includes the appendices).
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models 2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1009–1017, 2021.
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing 2020
Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel 2020
Xin Qiu, Elliot Meyerson, Risto Miikkulainen, In International Conference on Learning Representations, 2020.
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential 2019
Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith, arxiv:1905.13178 (2019).
Faster Training by Selecting Samples Using Embeddings 2019
Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen, Proceedings of the 2019 International Joint Conference on Neural Networks (2019), pp. 1-7.
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling 2019
Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B. Harper, bioRxiv:424226, Vol. (2019).
Efficient Sampling for Design Optimization of an SLS Product 2017
Nancy Xu, Cem C. Tutum, In Proceedings of the 28th Annual International Solid Freeform Fabrication Symposium, pp. 12, Austin, TX, August 2017.
John McCarthy, 1927-2011: The Scientist Who Set Computers on the Path to Common Sense 2011
Vladimir Lifschitz, Nature (2011), pp. 480.
Learning the Sensorimotor Structure of the Foveated Retina 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers, In Proceedings of the Ninth International Conference on Epigenetic Robotics 2009.
A General Purpose Task Specification Language for Bootstrap Learning 2008
Ian Fasel, Michael Quinlan, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2008.
A Multiagent Approach to Autonomous Intersection Management 2008
Kurt Dresner and Peter Stone, Journal of Artificial Intelligence Research, Vol. 31 (2008), pp. 591-656.
A Neural Network-Based Approach to Robot Motion Control 2008
Uli Grasemann, Daniel Stronger, and Peter Stone, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 480-87, Berlin 2008. Springer Verlag.
Autonomous Transfer for Reinforcement Learning 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
Instance-Based Action Models for Fast Action Planning 2008
Mazda Ahmadi and Peter Stone, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 1-16, Berlin 2008. Springer Verlag.
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee, W. Bradley Knox, and Peter Stone, Journal of Physical Agents, Vol. 2, 2 (2008), pp. 41-50. Special Issue on Human Interaction with Domestic Robots.
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles 2008
Kurt Dresner and Peter Stone, In AAMAS Workshop on Agents in Traffic and Transportation, pp. 78-85, Estoril, Portugal, May 2008.
Model-based Reinforcement Learning in a Complex Domain 2008
Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 171-83, Berlin 2008. Springer Verlag.
Multiagent Interactions in Urban Driving 2008
Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone, Journal of Physical Agents, Vol. 2, 1 (2008), pp. 15-30. Special issue on Multi-Robot Systems.
Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles 2008
Mark VanMiddlesworth, Kurt Dresner, and Peter Stone, In AAMAS Workshop on Agents in Traffic and Transportation, pp. 94-101, Estoril, Portugal, May 2008.
Transfer Learning and Intelligence: an Argument and Approach 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
Transferring Instances for Model-Based Reinforcement Learning 2008
Matthew E. Taylor, Nicholas K. Jong, and Peter Stone, In Machine Learning and Knowledge Discovery in Databases, Vol. 5212, pp. 488-505, September 2008.
Accelerating Search with Transferred Heuristics 2007
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In ICAPS-07 workshop on AI Planning and Learning, September 2007.
Action Selection for Illumination Invariant Color Learning 2007
Mohan Sridharan and Peter Stone, In The IEEE International Conference on Intelligent Robots and Systems (IROS) 2007.
Adapting Price Predictions in TAC SCM 2007
David Pardoe and Peter Stone, In AAMAS 2007 Workshop on Agent Mediated Electronic Commerce 2007.
Adaptive Tile Coding for Value Function Approximation 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Technical Report AI-TR-07-339, University of Texas at Austin.
An Autonomous Agent for Supply Chain Management 2007
David Pardoe and Peter Stone, In Handbooks in Information Systems Series: Business Computing, Gedas Adomavicius and Alok Gupta (Eds.), Vol. 3, pp. 141-72 2007. Emerald Group.
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition 2007
Michael P. Wellman, Amy Greenwald, and Peter Stone, No other information
Autonomous Learning of Stable Quadruped Locomotion 2007
Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 98-109, Berlin 2007. Springer Verlag.
Batch Reinforcement Learning in a Complex Domain 2007
Shivaram Kalyanakrishnan and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 650-657, New York, NY, USA, May 2007. ACM.
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination 2007
Mohan Sridharan and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 2212-2217, January 2007.
Cross-Domain Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone, In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
Empirical Studies in Action Selection for Reinforcement Learning 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Adaptive Behavior, Vol. 15, 1 (2007), pp. 33-50.
General Game Learning using Knowledge Transfer 2007
Bikramjit Banerjee and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 672-677, January 2007.
Graph-Based Domain Mapping for Transfer Learning in General Games 2007
Gregory Kuhlmann and Peter Stone, In Proceedings of the 18th European Conference on Machine Learning, September 2007.
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study 2007
Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 72-85, Berlin 2007. Springer Verlag.
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks 2007
Mazda Ahmadi, Matthew E. Taylor, and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
Intelligent Autonomous Robotics: A Robot Soccer Case Study 2007
Peter Stone, No other information
Learning Policy Selection for Autonomous Intersection Management 2007
Kurt Dresner and Peter Stone, In AAMAS 2007 Workshop on Adaptive and Learning Agents, pp. 34-39, Honolulu, Hawaii, USA, May 2007.
Model-Based Exploration in Continuous State Spaces 2007
Nicholas K. Jong and Peter Stone, In The Seventh Symposium on Abstraction, Reformulation, and Approximation, July 2007.
Model-Based Function Approximation for Reinforcement Learning 2007
Nicholas K. Jong and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
Multiagent learning is not the answer. It is the question 2007
Peter Stone, Artificial Intelligence, Vol. 171 (2007), pp. 402-05.
Planning Actions to Enable Color Learning on a Mobile Robot 2007
Mohan Sridharan and Peter Stone, International Journal of Information and Systems Sciences, Vol. 3, 3 (2007), pp. 510-25.
Representation Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone, In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
Selective Visual Attention for Object Detection on a Legged Robot 2007
Daniel Stronger and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 158-170, Berlin 2007. Springer Verlag.
Sharing the Road: Autonomous Vehicles meet Human Drivers 2007
Kurt Dresner and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 1263-68, January 2007.
Sneaking up on the Hard Problem of consciousness 2007
Benjamin Kuipers, In AI and Consciousness, AAAI Fall Symposium Series 2007.
Structure Based Color Learning on a Mobile Robot under Changing Illumination 2007
Mohan Sridharan and Peter Stone, Autonomous Robots, Vol. 23, 3 (2007), pp. 161-182.
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison 2007
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.
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot 2007
Peggy Fidelman and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 59-71, Berlin 2007. Springer Verlag.
The UT Austin Villa 3D Simulation Soccer Team 2007 2007
Shivaram Kalyanakrishnan and Peter Stone, Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning 2007
Matthew E. Taylor, Peter Stone, and Yaxin Liu, Journal of Machine Learning Research, Vol. 8, 1 (2007), pp. 2125-2167.
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning 2007
Matthew E. Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
A Multi-Robot System for Continuous Area Sweeping Tasks 2006
Mazda Ahmadi and Peter Stone, In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1724-1729, May 2006.
Adaptive Mechanism Design: A Metalearning Approach 2006
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak, In The Eighth International Conference on Electronic Commerce, pp. 92-102, August 2006.
Automatic Heuristic Construction in a Complete General Game Player 2006
Gregory Kuhlmann, Kurt Dresner, and Peter Stone, In Proceedings of the 21st National Conference on Artificial Intelligence, pp. 1457-62, July 2006.
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data 2006
Mohan Sridharan and Peter Stone, In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2006.
Cobot in LambdaMOO: An Adaptive Social Statistics Agent 2006
Charles Lee Isbell, Michael Kearns, Satinder Singh, Christian Shelton, Peter Stone, and Dave Kormann, Autonomous Agents and Multiagent Systems, Vol. 13, 3 (2006), pp. 36-41.
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321-28, July 2006.
Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone, Journal of Machine Learning Research, Vol. 7 (2006), pp. 877-917.
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management 2006
Kurt Dresner and Peter Stone, In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006.
Keepaway Soccer: From Machine Learning Testbed to Benchmark 2006
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu, In RoboCup-2005: Robot Soccer World Cup IX, Itsuki Noda and Adam Jacoff and Ansgar Bredenfeld and Yasutake Takahashi (Eds.), Vol. 4020, pp. 93-105, Berlin 2006. Springer Verlag.
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots 2006
Mazda Ahmadi and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 580-85, July 2006.
Know Thine Enemy: A Champion RoboCup Coach Agent 2006
Gregory Kuhlmann, William B. Knox, and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463-68, July 2006.
Multiagent Traffic Management: Opportunities for Multiagent Learning 2006
Kurt Dresner and Peter Stone, In LAMAS 2005, K. Tuyls et al. (Eds.), Vol. 3898, pp. 129-138, Berlin 2006. Springer Verlag.
On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains 2006
Shimon Whiteson and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577-84, July 2006.
Predictive Planning for Supply Chain Management 2006
David Pardoe and Peter Stone, In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006.
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone, In {AAAI} 2006: {P}roceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518-523, July 2006.
TacTex-2005: A Champion Supply Chain Management Agent 2006
David Pardoe and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1489-94, July 2006.
The UT Austin Villa 2006 RoboCup Four-Legged Team 2006
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.
Value Function Transfer for General Game Playing 2006
Bikramjit Banerjee, Gregory Kuhlmann, and Peter Stone, In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006.
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping 2006
Yaxin Liu and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 415-20, July 2006.
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone, Decision Support Systems, Vol. 39 (2005), pp. 55-66.
Autonomous Color Learning on a Mobile Robot 2005
Mohan Sridharan and Peter Stone, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Bayesian Models of Nonstationary Markov Decision Problems 2005
Nicholas K. Jong and Peter Stone, In IJCAI 2005 workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, August 2005.
Behavior Transfer for Value-Function-Based Reinforcement Learning 2005
Matthew E. Taylor and Peter Stone, In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michael Woo...
Bidding for Customer Orders in TAC SCM 2005
David Pardoe and Peter Stone, In Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), P. Faratin and J.A. Rodriguez-Aguilar (Eds.), Vol. 3435, pp. 143-157, ...
Developing Adaptive Auction Mechanisms 2005
David Pardoe and Peter Stone, SIGecom Exchanges, Vol. 5, 3 (2005), pp. 1-10.
Function Approximation via Tile Coding: Automating Parameter Choice 2005
Alexander A. Sherstov and Peter Stone, In SARA 2005, J.-D. Zucker and I. Saitta (Eds.), Vol. 3607, pp. 194-205, Berlin 2005. Springer Verlag.
Improving Action Selection in MDP's via Knowledge Transfer 2005
Alexander A. Sherstov and Peter Stone, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Multiagent Traffic Management: An Improved Intersection Control Mechanism 2005
Kurt Dresner and Peter Stone, In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michael Woo...
Practical Vision-Based Monte Carlo Localization on a Legged Robot 2005
Mohan Sridharan, Gregory Kuhlmann, and Peter Stone, In IEEE International Conference on Robotics and Automation, April 2005.
Real-Time Vision on a Mobile Robot Platform 2005
Mohan Sridharan and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005.
Reinforcement Learning for RoboCup-Soccer Keepaway 2005
Peter Stone, Richard S. Sutton, and Gregory Kuhlmann, Adaptive Behavior, Vol. 13, 3 (2005), pp. 165-188.
State Abstraction Discovery from Irrelevant State Variables 2005
Nicholas K. Jong and Peter Stone, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, pp. 752-757, August 2005.
The First International Trading Agent Competition: Autonomous Bidding Agents 2005
Peter Stone and Amy Greenwald, Electronic Commerce Research, Vol. 5, 2 (2005), pp. 229-65.
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach 2005
Gregory Kuhlmann, Peter Stone, and Justin Lallinger, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 636-644, Berlin 2005. Springer Verlag.
The UT Austin Villa 2005 RoboCup Four-Legged Team 2005
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.
Towards Illumination Invariance in the Legged League 2005
Mohan Sridharan and Peter Stone, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 196-208, Berlin 2005. Springer Verlag.
Value Functions for RL-Based Behavior Transfer: A Comparative Study 2005
Matthew E. Taylor, Peter Stone, and Yaxin Liu, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Adaptive Job Routing and Scheduling 2004
Shimon Whiteson and Peter Stone, Engineering Applications of Artificial Intelligence, Vol. 17(7), 7 (2004), pp. 855-869. Corrected version.
Automatic Compilation of Protocol Insecurity Problems into Logic Programming 2004
Alesandro Armando, Luca Compagna, and Yuliya Lierler, In Proceedings of 9th {E}uropean Conference in Logics in Artificial Intelligence (JELIA-04), pp. 617-627 2004. Springer.
Machine Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Nineteenth National Conference on Artificial Intelligence, pp. 611-616, July 2004.
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism 2004
Kurt Dresner and Peter Stone, In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530-537, July 2004.
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Proceedings of the {IEEE} International Conference on Robotics and Automation, pp. 2619-2624, May 2004.
RoboCup as an Introduction to CS Research 2004
Peter Stone, In RoboCup-2003: Robot Soccer World Cup VII, Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida (Eds.), Vol. 3020, pp. 284-95, Berlin 2004. Springer Verlag.
TacTex-03: A Supply Chain Management Agent 2004
David Pardoe and Peter Stone, SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, Vol. 4, 3 (2004), pp. 19-28.
The UT Austin Villa 2003 Four-Legged Team 2004
Peter Stone, Kurt Dresner, Selim T. Erdougan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan, In RoboCup-2003: Robot Soccer World Cup VII, Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida (Eds.), Berlin 2004. Springer Verlag.
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age 2004
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.
Towards Employing PSRs in a Continuous Domain 2004
Nicholas K. Jong and Peter Stone, Technical Report UT-AI-TR-04-309, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Using RoboCup in university-level computer science education 2004
Elizabeth Sklar, Simon Parsons, and Peter Stone, Journal on Educational Resources in Computing, Vol. 4, 2 (2004). Special issue on robotics in undergraduate education. Part 1.
Concurrent Layered Learning 2003
Shimon Whiteson and Peter Stone, In {AAMAS} 2003: {P}roceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Jeffrey S. Rosenschein and Tuomas Sandholm and Michael Wooldridge and...
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions 2003
Peter Stone, Robert E. Schapire, Michael L. Littman, J'anos A. Csirik, and David McAllester, Journal of Artificial Intelligence Research, Vol. 19 (2003), pp. 209-242.
Learning Predictive State Representations 2003
Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, and Peter Stone, In Proceedings of the Twentieth International Conference on Machine Learning, August 2003.
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone, In RoboCup-2002: Robot Soccer World Cup VI, Gal A. Kaminka and Pedro U. Lima and Raul Rojas (Eds.), Vol. 2752, pp. 224-237, Berlin 2003. Springer Verlag.
The 2001 Trading Agent Competition 2003
Michael P. Wellman, Amy Greenwald, Peter Stone, and Peter R. Wurman, Electronic Markets, Vol. 13, 1 (2003), pp. 4-12.
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research 2003
Itsuki Noda and Peter Stone, Autonomous Agents and Multi-Agent Systems, Vol. 7, 1--2 (2003), pp. 101-120.
ATTUnited-2001: Using Heterogeneous Players 2002
Peter Stone, In RoboCup-2001: Robot Soccer World Cup V, Andreas Birk and Silvia Coradeschi and Satoshi Tadokoro (Eds.), Vol. 2377, pp. 495-98, Berlin 2002. Springer Verlag.
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation 2002
Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and J'anos A. Csirik, In Proceedings of the Nineteenth International Conference on Machine Learning 2002.
Self-enforcing Strategic Demand Reduction 2002
Paul S. A. Reitsma, Peter Stone, J'anos A. Csirik, and Michael L. Littman, In Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Vol. 2531, pp. 289-306 2002. Springer Verlag.
An Architecture for Action Selection in Robotic Soccer 2001
Peter Stone and David McAllester, In Proceedings of the Fifth International Conference on Autonomous Agents, Elisabeth Andre and Sandip Sen and Claude Frasson and Jörg P. Müller (Eds.), pp. 316-323, New York, NY 2001. ACM Pres...
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League 2001
Patrick Riley, Peter Stone, David McAllester, and Manuela Veloso, In RoboCup-2000: Robot Soccer World Cup IV, P. Stone and T. Balch and G. Kraetzschmar (Eds.), Vol. 2019, Berlin 2001. Springer Verlag.
ATTac-2000: An Adaptive Autonomous Bidding Agent 2001
Peter Stone, Michael L. Littman, Satinder Singh, and Michael Kearns, Journal of Artificial Intelligence Research, Vol. 15 (2001), pp. 189-206.
Autonomous Bidding Agents in the Trading Agent Competition 2001
Amy Greenwald and Peter Stone, IEEE Internet Computing, Vol. 5, 2 (2001), pp. 52-60.
Cobot in LambdaMOO: A Social Statistics Agent 2001
Charles Lee Isbell Jr., Michael Kearns, Dave Kormann, Satinder Singh, and Peter Stone, In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 36--41 2001.
Computational Perceptual Attention 2001
Micheal Scott Hewett, PhD Thesis, Department of Computer Science, University of Texas at Austin.
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents 2001
J'anos A. Csirik, Michael L. Littman, Satinder Singh, and Peter Stone, In Electronic Commerce: Proceedings of the Second International Workshop, Ludger Fiege and Gero Mühl and Uwe Wilhelm (Eds.), pp. 139-151, Heidelberg, Germany 2001. Springer Verlag.
Implicit Negotiation in Repeated Games 2001
Michael L. Littman and Peter Stone, In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 393-404, August 2001.
Keeping the Ball from CMUnited-99 2001
David McAllester and Peter Stone, In RoboCup-2000: Robot Soccer World Cup IV, Peter Stone and Tucker Balch and Gerhard Kraetzschmar (Eds.), Vol. 2019, pp. 333-338, Berlin 2001. Springer Verlag.
Layered Disclosure: Revealing Agents' Internals 2001
Patrick Riley, Peter Stone, and Manuela Veloso, In Intelligent Agents VII. Agent Theories, Architectures, and Languages --- 7th.~International Workshop, ATAL-2000, Boston, MA, USA, July 7--9, 2000, Proceedings, C. Castelfranchi and Y. Lesper...
RoboCup-2000: The Fourth Robotic Soccer World Championships 2001
Peter Stone, Minoru Asada, Tucker Balch, Raffaelo D'Andrea, Masahiro Fujita, Bernhard Hengst, Gerhard Kraetzschmar, Pedro Lima, Nuno Lau, Henrik Lund, Daniel Polani, Paul Scerri, Satoshi Tadokoro, Thilo Weigel, and Gordon Wyeth, AI Magazine, Vol. 22, 1 (2001).
Defining and Using Ideal Teammate and Opponent Models 2000
Peter Stone, Patrick Riley, and Manuela Veloso, In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence 2000.
Layered Learning 2000
Peter Stone and Manuela Veloso, In Machine Learning: ECML 2000 (Proceedings of the Eleventh European Conference on Machine Learning), Ramon Lopez de Mantaras and Enric Plaza (Eds.), pp. 369-381, Barcelona,Catalonia,Spain, May...
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer 2000
Peter Stone, No other information
Multiagent Systems: A survey from a machine learning perspective 2000
Peter Stone and Manuela Veloso, Autonomous Robots, Vol. 8, 3 (2000), pp. 345-383.
Overview of RoboCup-99 2000
Silvia Coradeschi, Lars Karlsson, Peter Stone, Tucker Balch, Gerhard Kraetzschmar, and Minoru Asada, AI Magazine, Vol. 21, 3 (2000).
The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control 2000
Manuela Veloso, Peter Stone, and Kwun Han, Robotics and Autonomous Systems, Vol. 29, 2-3 (2000), pp. 133-143.
The CMUnited-99 Champion Simulator Team 2000
Peter Stone, Patrick Riley, and Manuela Veloso, In RoboCup-99: Robot Soccer World Cup III, M. Veloso and E. Pagello and H. Kitano (Eds.), Vol. 1856, pp. 35-48, Berlin 2000. Springer Verlag.
TPOT-RL Applied to Network Routing 2000
Peter Stone, In Proceedings of the Seventeenth International Conference on Machine Learning, pp. 935-942 2000.
Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer 1999
Manuela Veloso, Peter Stone, and Michael Bowling, In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, Paul S. Schenker and Gerard T. McKee (Eds.), Vol. 3839, pp. 134-143, Bellingham, WA, September 1999. SPIE.
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork 1999
Peter Stone and Manuela Veloso, Artificial Intelligence, Vol. 110, 2 (1999), pp. 241-273.
Team-Partitioned, Opaque-Transition Reinforcement Learning 1999
Peter Stone and Manuela Veloso, In RoboCup-98: Robot Soccer World Cup II, Minoru Asada and Hiroaki Kitano (Eds.), Vol. 1604, pp. 261-72, Berlin 1999. Springer Verlag. Also in Proceedings of the Third International Confe...
The CMUnited-98 Champion Simulator Team 1999
Peter Stone, Manuela Veloso, and Patrick Riley, In RoboCup-98: Robot Soccer World Cup II, M. Asada and H. Kitano (Eds.), Vol. 1604, pp. 61-76 1999. Springer Verlag.
The CMUnited-98 Champion Small Robot Team 1999
Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone, In RoboCup-98: Robot Soccer World Cup II, Minoru Asada and Hiroaki Kitano (Eds.), Vol. 1604, pp. 77-92, Berlin 1999. Springer Verlag.
A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server 1998
Peter Stone and Manuela Veloso, Applied Artificial Intelligence, Vol. 12 (1998), pp. 165-188.
The CMUnited-97 Simulator Team 1998
Peter Stone and Manuela Veloso, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 387-397, Berlin 1998. Springer Verlag.
The CMUnited-97 Small-Robot Team 1998
Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 242-256, Berlin 1998. Springer Verlag.
The RoboCup Physical Agent Challenge: Phase-I 1998
Minoru Asada, Yasuo Kuniyoshi, Alexis Drogoul, Hajime Asama, Maja Mataric, Dominique Duhaut, Peter Stone, and Hiroaki Kitano, Applied Artificial Intelligence, Vol. 12 (1998), pp. 251-263.
Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer 1998
Peter Stone and Manuela Veloso, International Journal of Human-Computer Studies, Vol. 48, 1 (1998), pp. 83-104.
Using Decision Tree Confidence Factors for Multiagent Control 1998
Peter Stone and Manuela Veloso, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 99-111, Berlin 1998. Springer Verlag.
Reflections in Silicon: Artificial and Natural Neural Networks 1997
Rick W. Tanney, Masters Thesis, Department of Philosophy, the University of Texas at Austin.
The RoboCup Synthetic Agent Challenge 97 1997
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada, In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pp. 24-29, San Francisco, CA 1997. Morgan Kaufmann.
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function 1996
Peter Stone and Manuela Veloso, In Advances in Neural Information Processing Systems 8, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 896-902, Cambridge, MA 1996. MIT Press.
Building a Dedicated Robotic Soccer System 1996
Sorin Achim, Peter Stone, and Manuela Veloso, In Proceedings of the IROS-96 Workshop on RoboCup, pp. 41-48, Osaka, Japan, November 1996.
Predictive Memory for an Inaccessible Environment 1996
Mike Bowling, Peter Stone, and Manuela Veloso, In Proceedings of the IROS-96 Workshop on RoboCup, pp. 28-34, Osaka, Japan, November 1996.
FLECS: Planning with a Flexible Commitment Strategy 1995
Manuela Veloso and Peter Stone, Journal of Artificial Intelligence Research, Vol. 3 (1995), pp. 25-52.
GLISP: An Efficient, English-like Programming Language 1981
Gordon Novak, In Proc. Third Annual Conference of the Cognitive Science Society, Berkeley, CA, August 1981.
Projects
A Predictive Simulation Model of Competitive Dynamics in Innovation 2009 - 2013
The OpenNERO AI Research and Education Platform 2009 - Present
Software/Data
NKVis This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a 2011
OpenNERO OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio... 2010
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
Demos
Simulation of Competitive Multi-Agent Search on NK Fitness LandscapesErkin Bahceci2012
Neuro-Evolving Robotic Operatives (NERO)Kenneth Stanley2007
Labs
Neural Networks