Imitation Learning
People
Ruohan Zhang Ph.D. Student zharu [at] utexas edu
Publications
     [Expand to show all 27][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.
DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching 2023
Caroline Wang, Ishan Durugkar, Elad Liebman, and Peter Stone, In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, D.C., February 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.
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).
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation 2022
Yifeng Zhu, Peter Stone, and Yuke Zhu, IEEE Robotics and Automation Letters (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.
Agile Robot Navigation through Hallucinated Learning and Sober Deployment 2021
Xuesu Xiao, Bo Liu, and Peter Stone, In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, June 2021.
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback 2021
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone, {IEEE} Robotics and Automation Letters, presented at International Conference on Intelligent Robots and Systems ({IROS}) (2021).
APPLI: Adaptive Planner Parameter Learning From Interventions 2021
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone, In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 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.
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination 2021
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), Prague, Czech Republic, October 2021.
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain 2021
Xuesu Xiao, Joydeep Biswas, and Peter Stone, In Opportunities and Challenges with Autonomous Racing Workshop at the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, June 2021.
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain 2021
Xuesu Xiao, Joydeep Biswas, and Peter Stone, IEEE Robotics and Automation Letters (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.
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
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).
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
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.
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