Peter Stone

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 387

Top Venues

Publications

Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. ICRA (2024)
Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas
Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds. CoRR (2024)
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6 (3) (2024)
Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. CoRR (2024)
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. CoRR (2024)
William Yue, Bo Liu, Peter Stone
Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. AAMAS (2024)
Alexander Levine, Peter Stone, Amy Zhang
Multistep Inverse Is Not All You Need. CoRR (2024)
Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. CoRR (2024)
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi
Models of human preference for learning reward functions. Trans. Mach. Learn. Res. 2024 (2024)
Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
N-Agent Ad Hoc Teamwork. CoRR (2024)
Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR (2024)
Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. CoRR (2024)
Shahaf S. Shperberg, Bo Liu, Peter Stone
Relaxed Exploration Constrained Reinforcement Learning. AAMAS (2024)
Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice. Commun. ACM 67 (6) (2024)
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
Longhorn: State Space Models are Amortized Online Learners. CoRR (2024)
Shiqi Zhang, Piyush Khandelwal, Peter Stone
iCORPP: Interleaved commonsense reasoning and probabilistic planning on robots. Robotics Auton. Syst. 174 (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. ICLR (2024)
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
Learning Optimal Advantage from Preferences and Mistaking It for Reward. AAAI (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. AAAI (2024)
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. ICRA (2024)
William Yue, Bo Liu, Peter Stone
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. CoRR (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR (2024)
Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. CoRR (2024)
Yifeng Zhu, Arisrei Lim, Peter Stone, Yuke Zhu
Vision-based Manipulation from Single Human Video with Open-World Object Graphs. CoRR (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. CoRR (2024)
Alessandra Rossi, Maike Paetzel-Prüsmann, Merel Keijsers, Michael Anderson, Susan Leigh Anderson, Daniel Barry, Jan Gutsche, Justin W. Hart, Luca Iocchi, Ainse Kokkelmans, Wouter Kuijpers, Yun Liu, Daniel Polani, Caleb Roscon, Marcus Scheunemann, Peter Stone, Florian Vahl, René van de Molengraft, Oskar von Stryk
The human in the loop Perspectives and challenges for RoboCup 2050. Auton. Robots 48 (2-3) (2024)
Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice. CoRR (2024)
Reuth Mirsky, Xuesu Xiao, Justin W. Hart, Peter Stone
Conflict Avoidance in Social Navigation - a Survey. ACM Trans. Hum. Robot Interact. 13 (1) (2024)
Shivin Dass, Wensi Ai, Yuqian Jiang, Samik Singh, Jiaheng Hu, Ruohan Zhang, Peter Stone, Ben Abbatematteo, Roberto Martín-Martín
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. CoRR (2024)
Yoonchang Sung, Rahul Shome, Peter Stone
Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning. ICRA (2024)
Muhammad Rahman, Jiaxun Cui, Peter Stone
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. AAAI (2024)
Rolando Fernandez, Garrett Warnell, Derrik E. Asher, Peter Stone
Multi-Agent Synchronization Tasks. CoRR (2024)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
Reward (Mis)design for Autonomous Driving (Abstract Reprint). AAAI (2024)
Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds. ICRA (2024)
Sveta Paster, Kantwon Rogers, Gordon Briggs, Peter Stone, Reuth Mirsky
ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home. CoRR (2023)
Carson Stark, Bohkyung Chun, Casey Charleston, Varsha Ravi, Luis Pabon, Surya Sunkari, Tarun Mohan, Peter Stone, Justin W. Hart
Dobby: A Conversational Service Robot Driven by GPT-4. CoRR (2023)
Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone
Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions. CoRR (2023)
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
Learning Optimal Advantage from Preferences and Mistaking it for Reward. CoRR (2023)
Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. CoRR (2023)
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. CoRR (2023)
Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR (2023)
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martin Martin
ELDEN: Exploration via Local Dependencies. CoRR (2023)
Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination. IROS (2023)
Arrasy Rahman, Jiaxun Cui, Peter Stone
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. CoRR (2023)
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRR (2023)
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRL (2023)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. AAAI (2023)
Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning. CoRR (2023)
Jiaheng Hu, Peter Stone, Roberto Martín-Martín
Causal Policy Gradient for Whole-Body Mobile Manipulation. Robotics: Science and Systems (2023)
Elad Liebman, Peter Stone
Utilizing Mood-Inducing Background Music in Human-Robot Interaction. CoRR (2023)
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
Composing Efficient, Robust Tests for Policy Selection. CoRR (2023)
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. ICRA (2023)
Yoonchang Sung, Rahul Shome, Peter Stone
Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning. CoRR (2023)
Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi
Latent Skill Discovery for Chain-of-Thought Reasoning. CoRR (2023)
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR (2023)
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. NeurIPS (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR (2023)
Elliott Hauser, Yao-Cheng Chan, Parth Chonkar, Geethika Hemkumar, Huihai Wang, Daksh Dua, Shikhar Gupta, Efren Mendoza Enriquez, Tiffany Kao, Justin W. Hart, Reuth Mirsky, Joydeep Biswas, Junfeng Jiao, Peter Stone
"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. TAS (2023)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
Reward (Mis)design for autonomous driving. Artif. Intell. 316 (2023)
Shahaf S. Shperberg, Bo Liu, Peter Stone
Relaxed Exploration Constrained Reinforcement Learning. AAMAS (2023)
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160 (2023)
Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. IEEE Robotics Autom. Mag. 30 (4) (2023)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. AAMAS (2023)
Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang
Multimodal embodied attribute learning by robots for object-centric action policies. Auton. Robots 47 (5) (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS (2023)
Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. ICLR (2023)
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
FAMO: Fast Adaptive Multitask Optimization. CoRR (2023)
Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. CoRR (2023)
Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. AAAI (2023)
Jiaheng Hu, Peter Stone, Roberto Martín-Martín
Causal Policy Gradient for Whole-Body Mobile Manipulation. CoRR (2023)
Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky
Exploring the Cost of Interruptions in Human-Robot Teaming. CoRR (2023)
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. CoRL (2023)
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. CoRR (2023)
Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
Targeted Learning: A Hybrid Approach to Social Robot Navigation. CoRR (2023)
Vaibhav Bajaj, Guni Sharon, Peter Stone
Task Phasing: Automated Curriculum Learning from Demonstrations. ICAPS (2023)
Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone
Event Tables for Efficient Experience Replay. Trans. Mach. Learn. Res. 2023 (2023)
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. AAAI (2023)
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. IROS (2023)
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone
Model-Based Meta Automatic Curriculum Learning. CoLLAs (2023)
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. CoRR (2023)
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
FAMO: Fast Adaptive Multitask Optimization. NeurIPS (2023)
Yoonchang Sung, Peter Stone
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search. Robotics: Science and Systems (2023)
Yoonchang Sung, Peter Stone
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search. CoRR (2023)
Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
ELDEN: Exploration via Local Dependencies. NeurIPS (2023)
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
Composing Efficient, Robust Tests for Policy Selection. UAI (2023)
Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky
Exploring the Cost of Interruptions in Human-Robot Teaming. Humanoids (2023)
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. ICRA (2023)
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. CoRR (2022)
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Allievi
Models of human preference for learning reward functions. CoRR (2022)
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. CoRR (2022)
Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors. CoRR (2022)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning. CoRR (2022)
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
Effective Mutation Rate Adaptation through Group Elite Selection. CoRR (2022)
Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone
Adversarial Imitation Learning from Video using a State Observer. CoRR (2022)
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS (2022)
Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone
A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects. CoLLAs (2022)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. CoRR (2022)
Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, Peter Stone
DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments. SSRR (2022)
Yoonchang Sung, Zizhao Wang, Peter Stone
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRR (2022)

Peter Stone.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peter Stone