Peter Stone
Faculty
My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. I consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses mainly on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
Homepage:
http://www.cs.utexas.edu/~pstone
Publications
     [Expand to show all 507][Minimize]
A Novel Control Law for Multi-joint Human-Robot Interaction Tasks While Maintaining Postural Coordination 2023
Keya Ghonasgi, Reuth Mirsky, Adrian M Haith, Peter Stone, and Ashish D Deshpande, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023).
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation 2023
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, and Peter Stone, In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, England, May 2023.
Causal Policy Gradient for Whole-Body Mobile Manipulation 2023
Jiaheng Hu, Peter Stone, and Roberto Martin-Martin, In Robotics: Science and Systems (RSS2023), Daegu, Republic of Korea, July 2023.
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.
Kinematic coordinations capture learning during human–exoskeleton interaction 2023
Keya Ghonasgi, Reuth Mirsky, Nisha Bhargava, Adrian M Haith, Peter Stone, and Ashish D Deshpande, Scientific Reports, Vol. 13 (2023), pp. 10322.
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.
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection 2023
Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, and Yuandong Tian, In The Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023.
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning 2023
Bo Liu, Yihao Feng, Qiang Liu, and Peter Stone, In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, US, February 2023.
Model-Based Meta Automatic Curriculum Learning 2023
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, and Peter Stone, In The Second Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Canada, August 2023.
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search 2023
Yoonchang Sung and Peter Stone, In Robotics: Science and Systems (RSS2023), Daegu, Republic of Korea, July 2023.
Reward (Mis)design for autonomous driving 2023
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone, Artificial Intelligence, Vol. 316 (2023).
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning 2023
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, and Shiqi Zhang, In International Conference on Intelligent Robots and Systems, Detroit, USA, October 2023.
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications 2023
Serena Booth, W Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, and Alessandro Allievi, In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C., February 2023.
VaryNote: A Method to Automatically Vary the Number of Notes in Symbolic Music 2023
Juan M. Huerta, Bo Liu, and Peter Stone, In Bridge after the turmoil - The 16th International Symposium, CMMR 2023, Tokyo, Japan, November 13-17, 2023, Tokyo, Japan, November 2023.
A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects 2022
Shahaf Shperberg, Bo Liu, Allessandro Allievi, and Peter Stone, In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLAs), Montreal, Canada, August 2022.
A Survey of Ad Hoc Teamwork Research 2022
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Eliott Fosong, William Macke, Mohan Sridharan, Peter Stone, and Stefano Albrecht, In The 19th European Conference on Multi-Agent Systems (EUMAS), Dusseldorf, Germany, September 2022.
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).
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach 2022
Bo Liu, Mao Ye, Stephen Wright, Peter Stone, and Qiang Liu, In Conference on Neural Information Processing Systems, 2022, New Orleans, LA, December 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).
Causal Dynamics Learning for Task-Independent State Abstraction 2022
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, and Peter Stone, In roceedings of the 39th International Conference on Machine Learning (ICML2022), Baltimore, USA, July 2022.
Continual Learning and Private Unlearning 2022
Bo Liu, Qiang Liu, and Peter Stone, In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLAs), Montreal, Canada, August 2022.
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles 2022
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu, In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, June 2022.
DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments 2022
Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, and Peter Stone, In Proceedings of the 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), November 2022.
Effective Mutation Rate Adaptation through Group Elite Selection 2022
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States, July 2022.
Effective Mutation Rate Adaptation through Group Elite Selection 2022
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:2204.04817).
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction 2022
Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, and Peter Stone, In Proceedings of the Adaptive and Learning Agents Workshop (ALA), Auckland, NZ, May 2022.
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning 2022
Yoonchang Sung, Zizhao Wang, and Peter Stone, In Proceedings of the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand, December 2022.
Model-Based Meta Automatic Curriculum Learning 2022
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 the +39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 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).
Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System 2022
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), Kyoto, Japan, October 2022.
Quantifying Human Rationality in Ad-hoc Teamwork 2022
Yair Hanina, Reuth Mirsky, William Macke, and Peter Stone, In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), Online, May 2022.
Quantifying Human Rationality in Ad-hoc Teamwork 2022
Yair Hanina, Reuth Mirsky, William Macke, and Peter Stone, In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), Online, May 2022.
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings 2022
Kingsley Nweye, Bo Liu, Nagy Zoltan, and Peter Stone, Journal of Energy and AI, 2022 (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).
Task Factorization in Curriculum Learning 2022
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 the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 2022.
Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer 2022
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, and Peter Stone, In Proceedings of the RoboCup Symposium, 2022, Bangkok, Thailand, July 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.
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors 2022
Yifeng Zhu, Abhishek Joshi, Peter Stone, and Yuke Zhu, In Proceedings of the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand, January 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.
A Lifelong Learning Approach to Mobile Robot Navigation 2021
Bo Liu, Xuesu Xiao, and Peter Stone, In IEEE International Conference on Robotics and Automation (ICRA), 2021, Xi'an, China, June 2021.
A Scavenger Hunt for Service Robots 2021
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone, In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), Xi'an China, May 2021.
Adversarial Intrinsic Motivation for Reinforcement Learning 2021
Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone, In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 2021.
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.
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.
Capturing Skill State in Curriculum Learning for Human Skill Acquisition 2021
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), Virtual, September 2021.
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition 2021
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), Vienna, Austria, July 2021.
Conflict-Averse Gradient Descent for Multi-task learning 2021
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu, In Conference on Neural Information Processing Systems, 2021, Virtual, December 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.
Expected Value of Communication for Planning in Ad Hoc Teamwork 2021
William Macke, Reuth Mirsky, and Peter Stone, In Proceedings of the 35th Conference on Artificial Intelligence (AAAI), February 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.
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).
Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy 2021
Josiah P. Hanna, Scott Niekum, and Peter Stone, Machine Learning (MLJ), Vol. 110, 6 (2021), pp. 1267–1317.
Incorpotating Gaze into Social Navigation 2021
Justin Hart, Reuth Mirsky, Xuesu Xiao, and Peter Stone, In Robotics: Science and Systems Workshop on Social Robot Navigation (RSS), Virtual, July 2021.
Intelligent Disobedience and AI Rebel Agents in Assistive Robotics 2021
Reuth Mirsky and Peter Stone, In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS), Virtual, November 2021.
Is the Cerebellum a Model-Based Reinforcement Learning Agent? 2021
Bharath Masetty, Reuth Mirsky, Ashish D. Deshpande, Michael Mauk, and Peter Stone, In Adaptive and Learning Agents Workshop at AAMAS, Virtual, May 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).
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.
Machine versus Human Attention in Deep Reinforcement Learning Tasks 2021
Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Mary Hayhoe, Dana Ballard, and Peter Stone, In Conference on Neural Information Processing Systems, 2021, Virtual, December 2021.
Multiagent Epidemiologic Inference through Realtime Contact Tracing 2021
Guni Sharon, James Ault, Peter Stone, Varun Kompella, and Roberto Capobianco, In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021), London, UK, May 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.
Reasoning about Human Behavior in Ad Hoc Teamwork 2021
Jennifer Suriadinata, William Macke, Reuth Mirsky, and Peter Stone, In Adaptive and learning Agents Workshop at AAMAS 2021, 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).
Scalable Multiagent Driving Policies For Reducing Traffic Congestion 2021
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone, No other information
Team Orienteering Coverage Planning with Uncertain Reward 2021
Bo Liu, Xuesu Xiao, and Peter Stone, No other information
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks 2021
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), Virtual Conference, February 2021.
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care 2021
Reuth Mirsky and Peter Stone, In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), Online, 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).
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation 2021
Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin Hart, and Peter Stone, In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 2021.
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork 2020
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, and Peter Stone, In Proceedings of the 29th International Joint Conference on Artificial Intelligence, Yokohama, Japan, January 2020.
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
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning 2020
Ishan Durugkar, Elad Liebman, and Peter Stone, Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (2020).
Benchmarking Metric Ground Navigation 2020
Daniel Perille, Abigail Truong, Xuesu Xiao, and Peter Stone, In Proceedings of the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2016), Virtual Conference, November 2020.
Deep R-Learning for Continual Area Sweeping 2020
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) (2020).
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks 2020
Lemeng Wu, Bo Liu, Peter Stone, and Qiang Liu, In Advances in Neural Information Processing Systems 34 (2020), Vancouver, Canada, December 2020.
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2020
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, Raymond J. Mooney, The Journal of Artificial Intelligence Research (JAIR), Vol. 67 (2020), pp. 327-374.
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.
On Sampling Error in Batch Action-Value Prediction Algorithms 2020
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., Remote (Virtual Conference), December 2020.
Reducing Sampling Error in Batch Temporal Difference Learning 2020
Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone, In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria (Virtual Conference), July 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.
The EMPATHIC Framework for Task Learning from Implicit Human Feedback 2020
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, and W. Bradley Knox, In Proceedings of the 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA, November 2020.
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation 2020
Shih-Yun Lo, Shiqi Zhang, and Peter Stone, The Journal of Artificial Intelligence Research (JAIR), Vol. 67 (2020).
Using Human-Inspired Signals to Disambiguate Navigational Intentions 2020
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), Golden, Colorado, November 2020.
Ad hoc Teamwork with Behavior Switching Agents 2019
Manish Ravula, Shani Alkobi, and Peter Stone, International Joint Conference on Artificial Intelligence (IJCAI) (2019).
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games 2019
Felipe Leno Da Silva, Anna Helena Reali Costa, and Peter Stone, In Proceedings of the 8th Brazilian Conference on Intelligent Systems (BRACIS), Salvador, Bahia, Brazil, October 2019.
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.
Importance Sampling Policy Evaluation with an Estimated Behavior Policy 2019
Josiah Hanna, Scott Niekum, and Peter Stone, In Proceedings of the 36th International Conference on Machine Learning (ICML), Long Beach, California, U.S.A., June 2019.
Improving Grounded Natural Language Understanding through Human-Robot Dialog 2019
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019.
Learning Curriculum Policies for Reinforcement Learning 2019
Sanmit Narvekar and Peter Stone, In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, Canada, May 2019.
Open-World Reasoning for Service Robots 2019
Yuqian Jiang, Nick Walker, Justin Hart, Peter Stone, In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA, USA, July 2019.
Optimal Use Of Verbal Instructions For Multi-Robot Human Navigation Guidance 2019
Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin Hart, Peter Stone, and Raymond J. Mooney, In Proceedings of the Eleventh International Conference on Social Robotics, pp. 133-143 2019. Springer.
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).
Reducing Sampling Error in Policy Gradient Learning 2019
Josiah Hanna and Peter Stone, In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, Canada, May 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
Selecting Compliant Agents for Opt-in Micro-Tolling 2019
Josiah Hanna, Guni Sharon, Stephen Boyles, and Peter Stone, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, January 2019.
The right music at the right time: adaptive personalized playlists based on sequence modeling 2019
Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone, Management Information Systems Quarterly, Vol. 43, 3 (2019), pp. 765--786.
UT Austin Villa: RoboCup 2018 3D Simulation League Champions 2019
Patrick MacAlpine, Faraz Torabi, Brahma Pavse, John Sigmon and Peter Stone, In RoboCup 2018: Robot Soccer World Cup XXII, Dirk Holz and Katie Genter and Maarouf Saad and Oskar von Stryk (Eds.) 2019. Springer.
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.
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems 2018
Stefano Albrecht and Peter Stone, Artificial Intelligence, Vol. 258 (2018), pp. 66--95. Elsevier.
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.
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation 2018
Haipeng Chen, Bo An, Guni Sharon, Josiah Hanna, Peter Stone, Chunyan Miao, and Yeng Chai Soh, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018.
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions 2018
Jesse Thomason, Jivko Sinapov, Raymond Mooney, Peter Stone, In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) , February 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.
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence 2018
Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond Mooney, Peter Stone, In Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium, AAAI Fall Symposium Series, Arlington, Virginia, October 2018.
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2018
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In RSS Workshop on Models and Representations for Natural Human-Robot Communication (MRHRC-18). Robotics: Science and Systems (RSS), June 2018.
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2018
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In Late-breaking Track at the SIGDIAL Special Session on Physically Situated Dialogue (RoboDIAL-18), Melbourne, Australia, July 2018.
Learning a Policy for Opportunistic Active Learning 2018
Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney, In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-18), Brussels, Belgium, November 2018.
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers 2018
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), Stockholm, Sweden, July 2018.
Overlapping Layered Learning 2018
Patrick MacAlpine and Peter Stone, Artificial Intelligence, Vol. 254 (2018), pp. 21--43. Elsevier.
Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability 2018
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)}, Nanjing, China, August 2018.
PETLON - Planning Efficiently for Task-Level Optimal Navigation 2018
Shih-Yun Lo, Shiqi Zhang, and Peter Stone, In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, July 2018.
PRISM: Pose Registration for Integrated Semantic Mapping 2018
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), Madrid, Spain, October 2018.
State Abstraction Synthesis for Discrete Models of Continuous Domains 2018
Jacob Menashe and Peter Stone, In Data Efficient Reinforcement Learning Workshop at AAAI Spring Symposium, Stanford, CA, USA, March 2018.
Towards a Data Efficient Off-Policy Policy Gradient 2018
Josiah Hanna and Peter Stone, In AAAI Spring Symposium on Data Efficient Reinforcement Learning, Palo Alto, CA, March 2018.
Traffic Optimization For a Mixture of Self-interested and Compliant Agents 2018
Guni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, and Peter Stone, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018.
Variety Wins: Soccer-Playing Robots and Infant Walking 2018
Ori Ossmy, Justine E. Hoch, Patrick MacAlpine, Shohan Hasan, Peter Stone, and Karen E. Adolph, Frontiers in Neurorobotics, Vol. 12 (2018), pp. 19.
A Stitch in Time - Autonomous Model Management via Reinforcement Learning 2018
Elad Liebman, Eric Zavesky, and Peter Stone, In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, July 2018.
On the Impact of Music on Decision Making in Cooperative Tasks 2018
Elad Liebman, Corey N. White, and Peter Stone, In 19th International Society for Music Information retrieval Conference (ISMIR), Paris, France, September 2018.
A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections 2017
Guni Sharon and Peter Stone, In Proceedings of the 2nd International Workshop on Agent-based modeling of urban systems (ABMUS-2017), Sao Paulo, Brazil, May 2017.
Automated Design of Robust Mechanisms 2017
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, February 2017.
Automatic Curriculum Graph Generation for Reinforcement Learning Agents 2017
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, and Peter Stone, In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, February 2017.
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning 2017
Sanmit Narvekar, Jivko Sinapov, and Peter Stone, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 2017.
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation 2017
Josiah Hanna, Peter Stone, and Scott Niekum, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Sao Paolo, Brazil, May 2017.
BWIBots: A platform for bridging the gap between AI and human--robot interaction research 2017
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 (2017).
CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression 2017
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), Santa Clara, CA, July 2017.
Data-Efficient Policy Evaluation Through Behavior Policy Search 2017
Josiah Hanna, Philip Thomas, Peter Stone, and Scott Niekum, In Proceedings of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, August 2017.
Decision mechanisms underlying mood-congruent emotional classification 2017
Corey White, Elad Liebman, and Peter Stone, Cognition and Emotion (2017), pp. 1--10. Taylor and Francis.
Designing Better Playlists with Monte Carlo Tree Search 2017
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), San Francisco, USA, February 2017.
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning 2017
Shiqi Zhang, Piyush Khandelwal, and Peter Stone, In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, February 2017.
Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges 2017
Patrick MacAlpine and Peter Stone, In AAMAS Multiagent Interaction without Prior Coordination (MIPC) Workshop, Sao Paulo, Brazil, May 2017.
Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges 2017
Patrick MacAlpine and Peter Stone, In Autonomous Agents and Multiagent Systems, AAMAS 2017 Workshops, Best Papers, Gita Sukthankar and Juan A. Rodriguez-Aguilar (Eds.), pp. 168--186 2017. Springer International Publishing.
Fast and Precise Black and White Ball Detection for RoboCup Soccer 2017
Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, and Peter Stone, In {R}obo{C}up-2017: Robot Soccer World Cup {XXI}, 2017 (Eds.), Nagoya, Japan, July 2017.
Grounded Action Transformation for Robot Learning in Simulation 2017
Josiah Hanna and Peter Stone, In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, February 2017.
Integrated Commonsense Reasoning and Probabilistic Planning 2017
Shiqi Zhang and Peter Stone, In Proceedings of 2017 ICAPS Workshop on Planning and Robotics, Pittsburgh, Pennsylvania, June 2017.
Iterative Human-Aware Mobile Robot Navigation 2017
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), Cambridge, MA, USA, July 2017.
Leveraging Commonsense Reasoning and Multimodal Perception for Robot Spoken Dialog Systems 2017
Dongcai Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen, In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017.
Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? 2017
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS-17), Sau Paulo, Brazil, May 2017.
Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests 2017
Piyush Khandelwal and Peter Stone, In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), São Paulo, Brazil, May 2017.
Multirobot Symbolic Planning under Temporal Uncertainty 2017
Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS), Sao Paulo, Brazil, May 2017.
Network-wide adaptive tolling for connected and automated vehicles 2017
Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone, Transportation Research Part C, Vol. 84 (2017), pp. 142--157.
Opportunistic Active Learning for Grounding Natural Language Descriptions 2017
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), Sergey Levine and Vincent Vanhoucke and Ken Goldberg (Eds.), pp. 67--76, Mountain View, California, November 2017. PMLR.
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks 2017
Guni Sharon, Josiah P. Hanna, Tarun Rambha, Michael W. Levin, Michael Albert, Stephen D. Boyles, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2017), Sao Paulo, Brazil, May 2017.
Reasoning about Hypothetical Agent Behaviours and their Parameters 2017
Stefano Albrecht and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-17), Sao Paulo, Brazil, May 2017.
Robot Behavioral Exploration and Multimodal Perception using POMDPs 2017
Shiqi Zhang, Jivko Sinapov, Suhua Wei, and Peter Stone, In Proceedings of 2017 AAAI Spring Symposium on Interactive Multi-Sensory Perception for Embodied Agents, Stanford, CA, March 2017.
TD Learning with Constrained Gradients 2017
Ishan Durugkar and Peter Stone, In Proceedings of the Deep Reinforcement Learning Symposium, NIPS 2017, Long Beach, CA, USA, December 2017.
UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions 2017
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2017: Robot Soccer World Cup {XXI}, Claude Sammut and Oliver Obst and Flavio Tonidandel and Hidehisa Akyama (Eds.) 2017. Springer.
A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer 2016
David L. Leottau, Javier Ruiz-del-Solar, Patrick MacAlpine, and Peter Stone, In {R}obo{C}up-2015: Robot Soccer World Cup {XIX}, Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke (Eds.), Berlin, Germany 2016. Springer Verlag.
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making 2016
Matteo Leonetti, Luca Iocchi, and Peter Stone, Artificial Intelligence, Vol. 241 (2016), pp. 103 - 130.
Ad Hoc Teamwork Behaviors for Influencing a Flock 2016
Katie Genter and Peter Stone, Acta Polytechnica (2016).
Adaptation of Surrogate Tasks for Bipedal Walk Optimization 2016
Patrick MacAlpine, Elad Liebman, and Peter Stone, In GECCO Surrogate-Assisted Evolutionary Optimisation (SAEOpt) Workshop, Denver, Colorado, USA, July 2016.
Adding Influencing Agents to a Flock 2016
Katie Genter and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16), Singapore, Singapore, May 2016.
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis 2016
Daniel Urieli and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market 2016
Daniel Urieli and Peter Stone, In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), Phoenix, AZ, USA, February 2016.
Deep Imitation Learning for Parameterized Action Spaces 2016
Matthew Hausknecht, Yilun Chen, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, Singapore, May 2016.
Deep Reinforcement Learning in Parameterized Action Space 2016
Matthew Hausknecht and Peter Stone, In Proceedings of the International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, May 2016.
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput 2016
Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, and Stephen D. Boyles, In Proceedings of the 9th International Workshop on Agents in Traffic and Transportation (ATT 2016), New York, NY, USA, July 2016.
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning 2016
Shiqi Zhang, Piyush Khandelwal, and Peter Stone, In IJCAI'16 Workshop on Autonomous Mobile Service Robots, New York City, USA, July 2016.
Grounded Semantic Networks for Learning Shared Communication Protocols 2016
Matthew Hausknecht and Peter Stone, In Deep Reinforcement Learning, NIPS Workshop, Barcelona, Spain, December 2016.
Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork 2016
Matthew Hausknecht, Prannoy Mupparaju, Sandeep Subramanian, Shivaram Kalyanakrishnan, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, Singapore, May 2016.
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy" 2016
Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, and Raymond J. Mooney, In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 3477--3483, New York City 2016.
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors 2016
Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, and Peter Stone, In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, USA, Jult 2016.
Machine Learning Capabilities of a Simulated Cerebellum 2016
Matthew Hausknecht, Wen-Ke Li, Michael Mauk, and Peter Stone, IEEE Transactions on Neural Networks and Learning Systems (2016).
Making Friends on the Fly: Cooperating with New Teammates 2016
Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone, Artificial Intelligence (2016).
Minimum Cost Matching for Autonomous Carsharing 2016
Josiah P. Hanna, Michael Albert, Donna Chen, and Peter Stone, In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), Leipzig, Germany, June 2016.
Multirobot Symbolic Planning under Temporal Uncertainty 2016
Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone, In IJCAI'16 Workshop on Autonomous Mobile Service Robots, New York City, USA, July 2016.
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search 2016
Khandelwal, Piyush, Liebman, Elad, Niekum, Scott, Stone, and Peter, In Proceedings of The 33rd International Conference on Machine Learning, pp. 1319--1328, New York City, NY, USA, June 2016.
On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning 2016
Matthew Hausknecht and Peter Stone, In Deep Reinforcement Learning: Frontiers and Challenges, IJCAI Workshop, New York, July 2016.
Prioritized Role Assignment for Marking 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.), Berlin 2016. Springer Verlag.
Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots 2016
Shiqi Zhang, Dongcai Lu, Xiaoping Chen, and Peter Stone, In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), New York City, USA, July 2016.
Robust Automated Mechanism Design 2016
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the EC 2016 2nd Algorithmic Game Theory and Data Science Workshop, Netherlands, July 2016.
Source Task Creation for Curriculum Learning 2016
Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, May 2016.
Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial 2016
Stefano Albrecht, Somchaya Liemhetcharat, and Peter Stone, Autonomous Agents and Multi-Agent Systems (2016).
State Aggregation through Reasoning in Answer Set Programming 2016
Ginevra Gaudioso, Matteo Leonetti, and Peter Stone, In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR 16), New York City, NY, USA, July 2016.
Three Years of the RoboCup Standard Platform League Drop-in Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition 2016
Katie Genter, Tim Laue, and Peter Stone, Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) (2016), pp. 1--31. Springer.
Bin-Based Estimation of the Amount of Effort for Embedded Software Development Projects with Support Vector Machines 2016
Kazunori Iwata, Elad Liebman, Peter Stone, Toyoshiro Nakashima, Yoshiyuki Anan, and Naohiro Ishii, In {C}omputer and {I}nformation {S}cience , Roger Lee (Eds.), Berlin 2016. Springer Verlag.
Impact of Music on Decision Making in Quantitative Tasks 2016
Elad Liebman, Peter Stone, and Corey N. White, In 17th International Society for Music Information retrieval Conference (ISMIR), NYC, USA, August 2016.
UT Austin Villa RoboCup 3D Simulation Base Code Release 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.), Berlin 2016. Springer Verlag.
UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions 2016
Patrick MacAlpine, Josiah Hanna, Jason Liang, and Peter Stone, In {R}obo{C}up-2015: Robot Soccer World Cup {XIX}, Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke (Eds.), Berlin, Germany 2016. Springer Verlag.
UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.) 2016. Springer.
Autonomous Intersection Management for Semi-Autonomous Vehicles 2015
Tsz-Chiu Au, Shun Zhang and Peter Stone, In Handbook of Transportation, May 2015.
Benchmarking Robot Cooperation without Pre-Coordination in the RoboCup Standard Platform League Drop-In Player Competition 2015
Katie Genter, Tim Laue, and Peter Stone, In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-15), Hamburg, Germany, September 2015.
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork 2015
Samuel Barrett and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 2015.
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot 2015
Shiqi Zhang and Peter Stone, In Proceedings of the 29th Conference on Artificial Intelligence (AAAI), January 2015.
Deep Recurrent Q-Learning for Partially Observable MDPs 2015
Matthew Hausknecht and Peter Stone, In AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents (AAAI-SDMIA15), Arlington, Virginia, USA, November 2015.
Determining Placements of Influencing Agents in a Flock 2015
Katie Genter, Shun Zhang, and Peter Stone, In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), Istanbul, Turkey, May 2015.
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation 2015
Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone, In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance 2015
W. Bradley Knox and Peter Stone, Artificial Intelligence, Vol. 225 (2015).
How Music Alters Decision Making: Impact of Music Stimuli on Emotional Classification 2015
Elad Liebman, Peter Stone, and Corey N. White, In 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, October 2015.
Intrinsically motivated model learning for developing curious robots 2015
Todd Hester and Peter Stone, Artificial Intelligence (2015). Elsevier.
Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League 2015
Mike Depinet, Patrick MacAlpine, and Peter Stone, In {R}obo{C}up-2014: Robot Soccer World Cup {XVIII}, H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura (Eds.) 2015. Springer Verlag.
Leading the Way: An Efficient Multi-robot Guidance System 2015
Piyush Khandelwal, Samuel Barrett, and Peter Stone, In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.
Learning Inter-Task Transferability in the Absence of Target Task Samples 2015
Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone, In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.
Learning to Interpret Natural Language Commands through Human-Robot Dialog 2015
Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone, In Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI), pp. 1923--1929, Buenos Aires, Argentina, July 2015.
Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy 2015
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone, In Proceedings of the 13th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR), Lexington, KY, USA, September 2015.
Monte Carlo Hierarchical Model Learning 2015
Jacob Menashe and Peter Stone, In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, May 2015.
Representative Selection in Nonmetric Datasets 2015
Elad Liebman, Benny Chor, and Peter Stone, Applied Artificial Intelligence, Vol. 29, 8 (2015), pp. 807--838.
Robot-centric Activity Recognition "in the Wild" 2015
Gori, I., Sinapov, J., Khante, P., Stone, P., and Aggarwal, J.K., In Proceedings of the International Conference on Social Robotics (ICSR), October 2015.
The Impact of Determinism on Learning Atari 2600 Games 2015
Matthew Hausknecht and Peter Stone, In AAAI Workshop on Learning for General Competency in Video Games, Austin, Texas, USA, January 2015.
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning 2015
Patrick MacAlpine, Eric Price, and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January 2015.
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning 2015
Patrick MacAlpine, Mike Depinet, and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January 2015.
UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions 2015
Patrick MacAlpine, Mike Depinet, Jason Liang, and Peter Stone, In {R}obo{C}up-2014: Robot Soccer World Cup {XVIII}, H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura (Eds.) 2015. Springer Verlag.
Communicating with Unknown Teammates 2014
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, and Peter Stone, In Proceedings of the Twenty-First European Conference on Artificial Intelligence, August 2014.
Cooperating with Unknown Teammates in Robot Soccer 2014
Samuel Barrett and Peter Stone, In AAMAS Autonomous Robots and Multirobot Systems Workshop (ARMS 2014), May 2014.
Cooperating with Unknown Teammates in Robot Soccer 2014
Samuel Barrett and Peter Stone, In AAAI Workshop on Multiagent Interaction without Prior Coordination (MIPC 2014), July 2014.
Influencing a Flock via Ad Hoc Teamwork 2014
Katie Genter and Peter Stone, In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), September 2014.
Mobile Robot Planning using Action Language BC with Hierarchical Domain Abstractions 2014
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone, In The 7th Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP), July 2014.
Modeling Uncertainty in Leading Ad Hoc Teams 2014
Noa Agmon, Samuel Barrett, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014.
Multi-robot Human Guidance using Topological Graphs 2014
Piyush Khandelwal and Peter Stone, In AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS), March 2014.
Orienting a Flock via Ad Hoc Teamwork 2014
Katie Genter and Peter Stone, In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 2014.
Planning in Action Language BC while Learning Action Costs for Mobile Robots 2014
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone, In International Conference on Automated Planning and Scheduling (ICAPS), June 2014.
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots 2014
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, and Peter Stone, No other information
TacTex'13: A Champion Adaptive Power Trading Agent 2014
Daniel Urieli and Peter Stone, In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014), July 2014.
The RoboCup 2013 Drop-In Player Challenges: A Testbed for Ad Hoc Teamwork 2014
Patrick MacAlpine, Katie Genter, Samuel Barrett, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Accompanying videos at
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning 2014
Patrick MacAlpine, Eric Price, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Accompanying videos at
Projects
TEXPLORE: Real-Time Sample Efficient Reinforcement Learning 2009 - Present
Teaching an Agent Manually via Evaluative Reinforcement (TAMER) 2008 - Present
Autonomous Intersection Management (AIM) 2004 - Present
Autonomic computing 2003 - Present
TacTex, an autonomous bidding agent for the Trading Agent Competition 2003 - Present
The UT Austin Villa Robot Soccer team 2003 - Present
Areas of Interest
     [Expand to show all 28][Minimize]
Software/Data
TacTex AA Binary The binary version of our 2009 TacTex AA agent, along with many other teams' agents, are available at the ... 2009
TacTex SCM Binaries Binary versions of all TacTex SCM (2005-2008) agents, along with many other teams' agents, are available at the ... 2008
Keepaway player framework source code, version 0.6 The Keepaway player framework is an implementation of all the low- and mid-level keepaway behaviors described in the pub...
Demos
A Neuroevolution Approach to General Atari Game PlayingMatthew Hausknecht2013
TEXPLORE: Real-Time Sample Efficient Reinforcement LearningTodd Hester2012
Teaching an Agent Manually via Evaluative Reinforcement (TAMER)W. Bradley Knox and Peter Stone2009
SPL Robocup Soccer2008
Simulated RoboCup Soccer2004
Autonomous Intersection Management (AIM)
Labs
Currently affiliated with Learning Agents