Garrett Warnell
Research Scientist
     [Expand to show all 35][Minimize]
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning 2023
Caroline Wang, Garrett Warnell, and Peter Stone, In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), London, UK, May 2023.
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways 2023
Jinsoo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone, In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, England, May 2023.
Adversarial Imitation Learning from Video using a State Observer 2022
Haresh Karnan, Garrett Warnell, Faraz Torabi, and Peter Stone, In International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, May 2022.
APPL: Adaptive Planner Parameter Learning 2022
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, abd Gauraang Dhamankar, Anirudh Nair, Garrett Warnell, and Peter Stone, Robotics and Autonomous Systems (2022).
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 2022
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, and Philip Dames, IEEE Robotics and Automation Magazine (2022).
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey 2022
Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone, Autonomous Robots (2022).
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset Of Demonstrations For Social Navigation 2022
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 (2022).
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics 2022
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, Kyoto, Japan, October 2022.
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation 2022
Haresh Karnan, Garrett Warnell, Xuesu Xiao, and Peter Stone, In International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, May 2022.
APPLR: Adaptive Planner Parameter Learning from Reinforcement 2021
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), Xi'an, China, June 2021.
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation 2021
Faraz Torabi, Garrett Warnell, and Peter Stone, In Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 2021.
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle 2021
Yu-Sian Jiang, Garrett Warnell, and Peter Stone, In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), A Virtual Conference, February 2021.
Grounded Action Transformation for Sim-to-Real Reinforcement Learning 2021
Josiah P.Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, and Peter Stone, Special Issue on Reinforcement Learning for Real Life, Machine Learning, 2021 (2021).
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy 2021
Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, and Matthew E. Taylor, Neural Computing and Applications (2021).
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning 2021
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), New York, USA, October 2021.
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning 2021
Eddy Hudson, Garrett Warnell, and Peter Stone, In Autonomous Robots and Multirobot Systems Workshop at the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), London, UK, May 2021.
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks 2021
Ruohan Zhang, Faraz Torabi, Garrett Warnell, and Peter Stone, Autonomous Agents and Multi-Agent Systems (2021).
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination 2021
Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone, IEEE Robotics and Automation Letters (2021).
Agents teaching agents: a survey on inter-agent transfer learning 2020
Felipe Leno Da Silva, Garrett Warnell, Anna Helena Reali Costa, and Peter Stone, Autonomous Agents and Multi-Agent Systems (2020).
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch 2020
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), Virtual, December 2020.
APPLD: Adaptive Planner Parameter Learning from Demonstration 2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, and Peter Stone, No other information
Learning to Improve Multi-Robot Hallway Navigation 2020
Jin-Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, and Peter Stone, In Proceedings of the 4th Conference on Robot Learning (CoRL), Virtual Conference, November 2020.
Reinforced Grounded Action Transformation for Sim-to-Real Transfer 2020
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.
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration 2020
Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone, IEEE Robotics and Automation Letters, presented at International Conference on Intelligent Robots and Systems (IROS) (2020).
Stochastic Grounded Action Transformation for Robot Learning in Simulation 2020
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), Las Vegas, NV, USA, October 2020.
Generative Adversarial Imitation from Observation 2019
Faraz Torabi, Garrett Warnell, and Peter Stone, Imitation, Intent, and Interaction (I3) Workshop at ICML 2019 (2019).
Imitation Learning from Video by Leveraging Proprioception 2019
Faraz Torabi, Garrett Warnell, and Peter Stone, In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 2019.
Recent Advances in Imitation Learning from Observation 2019
Faraz Torabi, Garrett Warnell, and Peter Stone, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI) (2019).
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration 2019
Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone, No other information
Sample-efficient Adversarial Imitation Learning from Observation 2019
Faraz Torabi, Garrett Warnell, and Peter Stone, No other information
A Study of Human-Robot Copilot Systems for En-Route Destination Changing 2018
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), Nanjing, China, August 2018.
Behavioral Cloning from Observation 2018
Faraz Torabi, Garrett Warnell, and Peter Stone, In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018.
Deep TAMER: Interactive agent shaping in high-dimensional state spaces 2018
Garrett Warnell, Nicholas Waytowich, Vernon Lawhern, and Peter Stone, In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2018.
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning 2018
Prabhat Nagarajan, Garrett Warnell, and Peter Stone, In 2nd Reproducibility in Machine Learning Workshop at ICML 2018, Stockholm, Sweden, July 2018.
Inferring User Intention using Gaze in Vehicles 2018
Yu-Sian Jiang, Garrett Warnell, and Peter Stone, In The 20th ACM International Conference on Multimodal Interaction (ICMI), Boulder, Colorado, October 2018.
Currently affiliated with Learning Agents