Peter Stone

847 papers A* 167A 117B 14C 65Misc 10Journal 337Unranked 127
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025.
IEEE Robotics Autom. Mag.
Xuesu Xiao, Zifan Xu, Saad Abdul Ghani, Aniket Datar, Daeun Song, Peter Stone, Amna Mazen, Kamyab Yazdipaz, Innocent Mateyaunga, Mariam Faied, Mohan Krishnan, Yuanjie Lu, Tong Xu, Nicholas Mohammad, Woosung Kim, Jonathan Reasoner, Rohan Chandra, Nicola Bezzo
2026 J jnl
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors.
CoRR
Zifan Xu, Ran Gong, Maria Vittoria Minniti, Ahmet Salih Gundogdu, Eric Rosen, Kausik Sivakumar, Riedana Yan, Zixing Wang, Di Deng, Peter Stone, Xiaohan Zhang, Karl Schmeckpeper
2026 J jnl
Factored Latent Action World Models.
CoRR
Zizhao Wang, Chang Shi, Jiaheng Hu, Kevin Rohling, Roberto Martín-Martín, Amy Zhang, Peter Stone
2026 J jnl
Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning.
CoRR
Yoonwoo Kim, Raghav Arora, Roberto Martín-Martín, Peter Stone, Ben Abbatematteo, Yoonchang Sung
2026 A* conf
Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy.
AAAI
Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2026 J jnl
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning.
CoRR
Jiaheng Hu, Jay Shim, Chen Tang, Yoonchang Sung, Bo Liu, Peter Stone, Roberto Martin Martin
2026 A* conf
The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All.
AAAI
Zifan Xu, Kristen Procko, Michael J. Munje, Kristin Patterson, Lea Sabatini, Joydeep Biswas, Peter Stone
2026 J jnl
The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning.
CoRR
Calarina Muslimani, Yunshu Du, Kenta Kawamoto, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2025 J jnl
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon.
CoRR
Cameron Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone
2025 J jnl
A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7.
IEEE Robotics Autom. Lett.
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter R. Wurman
2025 J jnl
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7.
CoRR
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter R. Wurman
2025 J jnl
Adversarial Reinforcement Learning for Large Language Model Agent Safety.
CoRR
Zizhao Wang, Dingcheng Li, Vaishakh Keshava, Phillip Wallis, Ananth Balashankar, Peter Stone, Lukas Rutishauser
2025 A* conf
Argus: A Compact and Versatile Foundation Model for Vision.
CVPR
Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu
2025 J jnl
Artificial Intelligence: Looking Forward 15 Years.
IEEE Intell. Syst.
Peter Stone
2025 J jnl
Automated Reward Design for Gran Turismo.
CoRR
Michel Ma, Takuma Seno, Kaushik Subramanian, Peter R. Wurman, Peter Stone, Craig Sherstan
2025 J jnl
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks.
CoRR
Viraj Joshi, Zifan Xu, Bo Liu, Peter Stone, Amy Zhang
2025 J jnl
ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion.
CoRR
Zichao Hu, Chen Tang, Michael J. Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas
2025 J jnl
Deadlock-free, safe, and decentralized multi-robot navigation in social mini-games via discrete-time control barrier functions.
Auton. Robots
Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Peter Stone, Joydeep Biswas
2025 A* conf
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.
AAAI
Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025 J jnl
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.
Annu. Rev. Control. Robotics Auton. Syst.
Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025 J jnl
Dyn-O: Building Structured World Models with Object-Centric Representations.
CoRR
Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
2025 A conf
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination.
IROS
Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
2025 A* conf
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
ICRA
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martín-Martín, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2025 J jnl
Fair human-centric image dataset for ethical AI benchmarking.
Nat.
Alice Xiang, Jerone T. A. Andrews, Rebecca Bourke, William Thong, Julienne LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal, Orestis Papakyriakopoulos, Dora Zhao, Jinru Xue, Victoria Matthews, Linxia Gong, Austin Hoag, Mircea Cimpoi, Swami Sankaranarayanan, Wiebke Hutiri, Morgan Klaus Scheuerman, Albert S. Abedi, Peter Stone, Peter R. Wurman, Hiroaki Kitano, Michael Spranger
2025 A conf
GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring.
IROS
Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao
2025 J jnl
GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring.
CoRR
Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao
2025 J jnl
Harmful Traits of AI Companions.
CoRR
W. Bradley Knox, Katie Bradford, Samanta Varela Castro, Desmond C. Ong, Sean Williams, Jacob Romanow, Carly Nations, Peter Stone, Samuel Baker
2025 A* conf
Hyperspherical Normalization for Scalable Deep Reinforcement Learning.
ICML
Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo
2025 J jnl
Hyperspherical Normalization for Scalable Deep Reinforcement Learning.
CoRR
Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo
2025 J jnl
Influencing Humans to Conform to Preference Models for RLHF.
CoRR
Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Scott Niekum, Peter Stone
2025 A conf
L3M+P: Lifelong Planning with Large Language Models.
IROS
Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone
2025 J jnl
L3M+P: Lifelong Planning with Large Language Models.
CoRR
Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone
2025 J jnl
LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models.
CoRR
Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang
2025 J jnl
Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input.
CoRR
Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, Peter Stone
2025 A* conf
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory.
ICLR
Alexander Levine, Peter Stone, Amy Zhang
2025 J jnl
Learning a robust multiagent driving policy for traffic congestion reduction.
Neural Comput. Appl.
Yulin Zhang, William Macke, Jiaxun Cui, Sharon Hornstein, Daniel Urieli, Peter Stone
2025 A* conf
Longhorn: State Space Models are Amortized Online Learners.
ICLR
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2025 A conf
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds.
IROS
Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas
2025 J jnl
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets.
CoRR
Alexander Levine, Peter Stone, Amy Zhang
2025 J jnl
Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy.
CoRR
Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2025 A* conf
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation.
ICRA
Mingyo Seo, Yoonyoung Cho, Yoonchang Sung, Peter Stone, Yuke Zhu, Beomjoon Kim
2025 J jnl
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
ACM Trans. Hum. Robot Interact.
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 Martín-Martín
2025 A* conf
Proto Successor Measure: Representing the Behavior Space of an RL Agent.
ICML
Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2025 J jnl
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork.
CoRR
Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone
2025 A* conf
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer.
ICRA
Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2025 J jnl
RoboSSM: Scalable In-context Imitation Learning via State-Space Models.
CoRR
Youngju Yoo, Jiaheng Hu, Yifeng Zhu, Bo Liu, Qiang Liu, Roberto Martín-Martín, Peter Stone
2025 J jnl
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL.
CoRR
Jiaheng Hu, Peter Stone, Roberto Martín-Martín
2025 J jnl
SafeZone*: A Graph-Based and Time-Optimal Cooperative 3D Printing Framework.
J. Comput. Inf. Sci. Eng.
Peter Stone, Matthew Ebert, Wenchao Zhou, Ergun Akleman, Vinayak R. Krishnamurthy, Zhenghui Sha
2025 J jnl
Sequence Modeling for N-Agent Ad Hoc Teamwork.
CoRR
Caroline Wang, Di Yang Shi, Elad Liebman, Ishan Durugkar, Arrasy Rahman, Peter Stone
2025 A* conf
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.
ICLR
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2025 J jnl
SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation.
CoRR
Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone
2025 J jnl
Terrain Costmap Generation via Scaled Preference Conditioning.
CoRR
Luisa Mao, Garrett A. Warnell, Peter Stone, Joydeep Biswas
2025 J jnl
The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All.
CoRR
Zifan Xu, Kristen Procko, Michael J. Munje, Kristin Patterson, Lea Sabatini, Joydeep Biswas, Peter Stone
2025 A* conf
The Essentials of AI for Life and Society: An AI Literacy Course for the University Community.
AAAI
Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu
2025 J jnl
The Essentials of AI for Life and Society: An AI Literacy Course for the University Community.
CoRR
Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu
2025 J jnl
Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play.
CoRR
Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone
2025 J jnl
pacer: Preference-Conditioned All-Terrain Costmap Generation.
IEEE Robotics Autom. Lett.
Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas
2024 J jnl
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo.
RLJ
Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024 J jnl
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo.
CoRR
Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024 J jnl
A collective AI via lifelong learning and sharing at the edge.
Nat. Mac. Intell.
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
2024 A* conf
Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning.
ICRA
Yoonchang Sung, Rahul Shome, Peter Stone
2024 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions].
IEEE Robotics Autom. Mag.
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
2024 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024.
CoRR
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
2024 A* conf
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.
AAAI
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
2024 J jnl
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.
CoRR
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
2024 J jnl
Conflict Avoidance in Social Navigation - a Survey.
ACM Trans. Hum. Robot Interact.
Reuth Mirsky, Xuesu Xiao, Justin W. Hart, Peter Stone
2024 J jnl
Data-Efficient Policy Evaluation Through Behavior Policy Search.
J. Mach. Learn. Res.
Josiah P. Hanna, Yash Chandak, Philip S. Thomas, Martha White, Peter Stone, Scott Niekum
2024 J jnl
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.
CoRR
Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2024 A* conf
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning.
ICRA
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
2024 J jnl
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning.
CoRR
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
2024 A* conf
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration.
NeurIPS
Borja G. León, Francesco Riccio, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024 A* conf
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning.
NeurIPS
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
2024 J jnl
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning.
CoRR
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
2024 B conf
Dobby: A Conversational Service Robot Driven by GPT-4.
RO-MAN
Carson Stark, Bohkyung Chun, Casey Charleston, Varsha Ravi, Luis Pabon, Surya Sunkari, Tarun Mohan, Peter Stone, Justin W. Hart
2024 J jnl
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination.
CoRR
Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
2024 J jnl
Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach.
CoRR
Yoonchang Sung, Shahaf S. Shperberg, Qi Wang, Peter Stone
2024 J jnl
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
CoRR
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martin Martin, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2024 J jnl
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting.
CoRR
Bo Liu, Mao Ye, Peter Stone, Qiang Liu
2024 J jnl
Grounded Curriculum Learning.
CoRR
Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao
2024 — conf
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning.
EMNLP (Findings)
Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi
2024 J jnl
Learning Memory Mechanisms for Decision Making through Demonstrations.
CoRR
William Yue, Bo Liu, Peter Stone
2024 A* conf
Learning Optimal Advantage from Preferences and Mistaking It for Reward.
AAAI
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2024 J jnl
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory.
CoRR
Alexander Levine, Peter Stone, Amy Zhang
2024 Misc conf
Learning to Look: Seeking Information for Decision Making via Policy Factorization.
CoRL
Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín
2024 J jnl
Learning to Look: Seeking Information for Decision Making via Policy Factorization.
CoRR
Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín
2024 J jnl
Longhorn: State Space Models are Amortized Online Learners.
CoRR
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2024 J jnl
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention.
CoRR
Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan
2024 A* conf
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents.
AAAI
Muhammad Rahman, Jiaxun Cui, Peter Stone
2024 J jnl
Models of human preference for learning reward functions.
Trans. Mach. Learn. Res.
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi
2024 J jnl
Multi-Agent Synchronization Tasks.
CoRR
Rolando Fernandez, Garrett Warnell, Derrik E. Asher, Peter Stone
2024 J jnl
Multistep Inverse Is Not All You Need.
RLJ
Alexander Levine, Peter Stone, Amy Zhang
2024 J jnl
Multistep Inverse Is Not All You Need.
CoRR
Alexander Levine, Peter Stone, Amy Zhang
2024 J jnl
N-Agent Ad Hoc Teamwork.
CoRR
Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2024 A* conf
N-agent Ad Hoc Teamwork.
NeurIPS
Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2024 J jnl
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice.
Commun. ACM
Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
2024 J jnl
Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice.
CoRR
Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
2024 A conf
Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.
AAMAS
William Yue, Bo Liu, Peter Stone
2024 J jnl
PACER: Preference-conditioned All-terrain Costmap Generation.
CoRR
Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas
2024 J jnl
PRESTO: Fast motion planning using diffusion models based on key-configuration environment representation.
CoRR
Mingyo Seo, Yoonyoung Cho, Yoonchang Sung, Peter Stone, Yuke Zhu, Beomjoon Kim
2024 J jnl
Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning.
CoRR
Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2024 J jnl
RL Zero: Zero-Shot Language to Behaviors without any Supervision.
CoRR
Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
2024 C conf
Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing.
ACC
Catherine Weaver, Roberto Capobianco, Peter R. Wurman, Peter Stone, Masayoshi Tomizuka
2024 J jnl
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer.
CoRR
Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2024 A conf
Relaxed Exploration Constrained Reinforcement Learning.
AAMAS
Shahaf S. Shperberg, Bo Liu, Peter Stone
2024 A* conf
Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds.
ICRA
Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
2024 A* conf
Reward (Mis)design for Autonomous Driving (Abstract Reprint).
AAAI
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2024 J jnl
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning.
CoRR
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
2024 A* conf
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks.
ICLR
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
2024 J jnl
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks.
CoRR
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
2024 J jnl
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.
CoRR
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2024 A* conf
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions.
NeurIPS
Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone
2024 J jnl
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions.
CoRR
Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone
2024 J jnl
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation.
CoRR
Shivin Dass, Wensi Ai, Yuqian Jiang, Samik Singh, Jiaheng Hu, Ruohan Zhang, Peter Stone, Ben Abbatematteo, Roberto Martín-Martín
2024 J jnl
The human in the loop Perspectives and challenges for RoboCup 2050.
Auton. Robots
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 Rascón, Marcus Scheunemann, Peter Stone, Florian Vahl, René van de Molengraft, Oskar von Stryk
2024 J jnl
Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds.
CoRR
Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas
2024 J jnl
Vision-based Manipulation from Single Human Video with Open-World Object Graphs.
CoRR
Yifeng Zhu, Arisrei Lim, Peter Stone, Yuke Zhu
2024 A* conf
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning.
ICRA
Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
2024 J jnl
iCORPP: Interleaved commonsense reasoning and probabilistic planning on robots.
Robotics Auton. Syst.
Shiqi Zhang, Piyush Khandelwal, Peter Stone
2024 — conf
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.
CoLLAs
William Yue, Bo Liu, Peter Stone
2024 J jnl
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.
CoRR
William Yue, Bo Liu, Peter Stone
2023 — conf
"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots.
TAS
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
2023 J jnl
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems.
CoRR
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 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
2023 A conf
A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination.
IROS
Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
2023 J jnl
A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks
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 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
2023 J jnl
Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning.
CoRR
Yoonchang Sung, Rahul Shome, Peter Stone
2023 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions].
IEEE Robotics Autom. Mag.
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
2023 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023.
CoRR
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
2023 A* conf
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.
ICRA
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
2023 — conf
Causal Policy Gradient for Whole-Body Mobile Manipulation.
Robotics: Science and Systems
Jiaheng Hu, Peter Stone, Roberto Martín-Martín
2023 J jnl
Causal Policy Gradient for Whole-Body Mobile Manipulation.
CoRR
Jiaheng Hu, Peter Stone, Roberto Martín-Martín
2023 A conf
Composing Efficient, Robust Tests for Policy Selection.
UAI
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023 J jnl
Composing Efficient, Robust Tests for Policy Selection.
CoRR
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023 A conf
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning.
AAMAS
Caroline Wang, Garrett Warnell, Peter Stone
2023 A* conf
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching.
AAAI
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
2023 J jnl
Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions.
CoRR
Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone
2023 J jnl
Dobby: A Conversational Service Robot Driven by GPT-4.
CoRR
Carson Stark, Bohkyung Chun, Casey Charleston, Varsha Ravi, Luis Pabon, Surya Sunkari, Tarun Mohan, Peter Stone, Justin W. Hart
2023 A* conf
ELDEN: Exploration via Local Dependencies.
NeurIPS
Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
2023 J jnl
ELDEN: Exploration via Local Dependencies.
CoRR
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martin Martin
2023 J jnl
Event Tables for Efficient Experience Replay.
Trans. Mach. Learn. Res.
Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone
2023 — conf
Exploring the Cost of Interruptions in Human-Robot Teaming.
Humanoids
Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky
2023 J jnl
Exploring the Cost of Interruptions in Human-Robot Teaming.
CoRR
Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky
2023 A* conf
FAMO: Fast Adaptive Multitask Optimization.
NeurIPS
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023 J jnl
FAMO: Fast Adaptive Multitask Optimization.
CoRR
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023 J jnl
ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home.
CoRR
Sveta Paster, Kantwon Rogers, Gordon Briggs, Peter Stone, Reuth Mirsky
2023 A* conf
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.
NeurIPS
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023 J jnl
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.
CoRR
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023 J jnl
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.
CoRR
Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone
2023 J jnl
Latent Skill Discovery for Chain-of-Thought Reasoning.
CoRR
Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi
2023 Misc conf
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations.
CoRL
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu
2023 J jnl
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations.
CoRR
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu
2023 J jnl
Learning Optimal Advantage from Preferences and Mistaking it for Reward.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2023 A* conf
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways.
ICRA
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
2023 A* conf
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection.
ICLR
Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian
2023 A* conf
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning.
AAAI
Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2023 J jnl
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents.
CoRR
Arrasy Rahman, Jiaxun Cui, Peter Stone
2023 — conf
Model-Based Meta Automatic Curriculum Learning.
CoLLAs
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone
2023 — conf
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search.
Robotics: Science and Systems
Yoonchang Sung, Peter Stone
2023 J jnl
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search.
CoRR
Yoonchang Sung, Peter Stone
2023 J jnl
Multimodal embodied attribute learning by robots for object-centric action policies.
Auton. Robots
Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang
2023 J jnl
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
CoRR
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
2023 A conf
Relaxed Exploration Constrained Reinforcement Learning.
AAMAS
Shahaf S. Shperberg, Bo Liu, Peter Stone
2023 J jnl
Reward (Mis)design for autonomous driving.
Artif. Intell.
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2023 Misc conf
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience.
CoRL
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
2023 J jnl
Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience.
CoRR
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
2023 A conf
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning.
IROS
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang
2023 J jnl
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning.
CoRR
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang
2023 J jnl
Targeted Learning: A Hybrid Approach to Social Robot Navigation.
CoRR
Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
2023 A* conf
Task Phasing: Automated Curriculum Learning from Demonstrations.
ICAPS
Vaibhav Bajaj, Guni Sharon, Peter Stone
2023 A* conf
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
AAAI
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
2023 J jnl
Utilizing Mood-Inducing Background Music in Human-Robot Interaction.
CoRR
Elad Liebman, Peter Stone
2023 J jnl
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning.
CoRR
Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
2023 J jnl
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences.
CoRR
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2023 A* conf
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences.
NeurIPS
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2022 — conf
A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects.
CoLLAs
Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone
2022 C conf
A Survey of Ad Hoc Teamwork Research.
EUMAS
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022 J jnl
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems.
CoRR
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022 J jnl
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning.
CoRR
Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone
2022 J jnl
APPL: Adaptive Planner Parameter Learning.
Robotics Auton. Syst.
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2022 A* conf
Adversarial Imitation Learning from Video Using a State Observer.
ICRA
Haresh Karnan, Faraz Torabi, Garrett Warnell, Peter Stone
2022 J jnl
Adversarial Imitation Learning from Video using a State Observer.
CoRR
Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone
2022 J jnl
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.
CoRR
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
2022 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions].
IEEE Robotics Autom. Mag.
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, Philip M. Dames
2022 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022.
CoRR
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, Philip M. Dames
2022 A* conf
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach.
NeurIPS
Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu
2022 J jnl
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach.
CoRR
Mao Ye, Bo Liu, Stephen Wright, Peter Stone, Qiang Liu
2022 J jnl
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.
CoRR
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
2022 J jnl
Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation.
IEEE Robotics Autom. Lett.
Yifeng Zhu, Peter Stone, Yuke Zhu
2022 J jnl
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles.
CoRR
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu
2022 A* conf
Causal Dynamics Learning for Task-Independent State Abstraction.
ICML
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
2022 J jnl
Causal Dynamics Learning for Task-Independent State Abstraction.
CoRR
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
2022 J jnl
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing.
IEEE Intell. Syst.
Peter R. Wurman, Peter Stone, Michael Spranger
2022 — conf
Continual Learning and Private Unlearning.
CoLLAs
Bo Liu, Qiang Liu, Peter Stone
2022 J jnl
Continual Learning and Private Unlearning.
CoRR
Bo Liu, Qiang Liu, Peter Stone
2022 A* conf
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles.
CVPR
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu
2022 J jnl
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning.
CoRR
Caroline Wang, Garrett Warnell, Peter Stone
2022 J jnl
DM
CoRR
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
2022 — conf
DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments.
SSRR
Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, Peter Stone
2022 A* conf
Dynamic Sparse Training for Deep Reinforcement Learning.
IJCAI
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2022 J jnl
Effective Mutation Rate Adaptation through Group Elite Selection.
CoRR
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
2022 A conf
Effective mutation rate adaptation through group elite selection.
GECCO
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
2022 J jnl
Event Tables for Efficient Experience Replay.
CoRR
Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone
2022 J jnl
High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization.
CoRR
Pranav Atreya, Haresh Karnan, Kavan Singh Sikand, Xuesu Xiao, Garrett Warnell, Sadegh Rabiee, Peter Stone, Joydeep Biswas
2022 J jnl
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways.
CoRR
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
2022 J jnl
Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis.
CoRR
Zifan Xu, Anirudh Nair, Xuesu Xiao, Peter Stone
2022 J jnl
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake.
CoRR
Shahaf S. Shperberg, Bo Liu, Peter Stone
2022 Misc conf
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning.
CoRL
Yoonchang Sung, Zizhao Wang, Peter Stone
2022 J jnl
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning.
CoRR
Yoonchang Sung, Zizhao Wang, Peter Stone
2022 J jnl
Lucid dreaming for experience replay: refreshing past states with the current policy.
Neural Comput. Appl.
Yunshu Du, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor
2022 J jnl
Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization.
Oper. Res.
Michael Albert, Vincent Conitzer, Giuseppe Lopomo, Peter Stone
2022 J jnl
Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning.
CoRR
Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2022 J jnl
Models of human preference for learning reward functions.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Allievi
2022 J jnl
Motion planning and control for mobile robot navigation using machine learning: a survey.
Auton. Robots
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2022 — conf
Offline training of multi-agent reinforcement agents for grid-interactive buildings control.
e-Energy
Kingsley Nweye, Zoltán Nagy, Bo Liu, Peter Stone
2022 J jnl
Outracing champion Gran Turismo drivers with deep reinforcement learning.
Nat.
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
2022 A conf
Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System.
IROS
Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
2022 J jnl
Safe Evaluation For Offline Learning: Are We Ready To Deploy?
CoRR
Hager Radi, Josiah P. Hanna, Peter Stone, Matthew E. Taylor
2022 A* conf
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
ICRA
Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
2022 J jnl
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.
IEEE Robotics Autom. Lett.
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022 J jnl
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.
CoRR
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022 J jnl
Task Phasing: Automated Curriculum Learning from Demonstrations.
CoRR
Vaibhav Bajaj, Guni Sharon, Peter Stone
2022 C conf
Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer.
RoboCup
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone
2022 A conf
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics.
IROS
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
2022 J jnl
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics.
CoRR
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
2022 J jnl
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors.
CoRR
Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu
2022 Misc conf
VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation.
CoRL
Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu
2022 A* conf
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation.
ICRA
Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
2022 A* conf
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
NeurIPS
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022 J jnl
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
CoRR
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022 A* conf
Visually Grounded Task and Motion Planning for Mobile Manipulation.
ICRA
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang
2022 J jnl
Visually Grounded Task and Motion Planning for Mobile Manipulation.
CoRR
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang
2021 J jnl
A Lifelong Learning Approach to Mobile Robot Navigation.
IEEE Robotics Autom. Lett.
Bo Liu, Xuesu Xiao, Peter Stone
2021 A* conf
A Scavenger Hunt for Service Robots.
ICRA
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone
2021 J jnl
A Scavenger Hunt for Service Robots.
CoRR
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone
2021 J jnl
APPL: Adaptive Planner Parameter Learning.
CoRR
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2021 J jnl
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.
IEEE Robotics Autom. Lett.
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021 J jnl
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback.
CoRR
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021 A* conf
APPLI: Adaptive Planner Parameter Learning From Interventions.
ICRA
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021 A* conf
APPLR: Adaptive Planner Parameter Learning from Reinforcement.
ICRA
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2021 A* conf
Adversarial Intrinsic Motivation for Reinforcement Learning.
NeurIPS
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021 J jnl
Adversarial Intrinsic Motivation for Reinforcement Learning.
CoRR
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021 J jnl
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
J. Artif. Intell. Res.
Roberto Capobianco, Varun Raj Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2021 A* conf
Agile Robot Navigation through Hallucinated Learning and Sober Deployment.
ICRA
Xuesu Xiao, Bo Liu, Peter Stone
2021 J jnl
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation.
CoRR
Yifeng Zhu, Peter Stone, Yuke Zhu
2021 A conf
Capturing Skill State in Curriculum Learning for Human Skill Acquisition.
IROS
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
2021 J jnl
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition.
CoRR
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar
2021 A* conf
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition.
ICML
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar
2021 J jnl
Conflict-Averse Gradient Descent for Multi-task Learning.
CoRR
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021 A* conf
Conflict-Averse Gradient Descent for Multi-task learning.
NeurIPS
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021 A conf
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation.
IROS
Faraz Torabi, Garrett Warnell, Peter Stone
2021 J jnl
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation.
CoRR
Faraz Torabi, Garrett Warnell, Peter Stone
2021 A* conf
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback.
AAAI
Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
2021 J jnl
Dynamic Sparse Training for Deep Reinforcement Learning.
CoRR
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2021 A* conf
Efficient Real-Time Inference in Temporal Convolution Networks.
ICRA
Piyush Khandelwal, James MacGlashan, Peter R. Wurman, Peter Stone
2021 — conf
Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation.
ICARSC
Peter Stone
2021 A* conf
Expected Value of Communication for Planning in Ad Hoc Teamwork.
AAAI
William Macke, Reuth Mirsky, Peter Stone
2021 J jnl
Expected Value of Communication for Planning in Ad Hoc Teamwork.
CoRR
William Macke, Reuth Mirsky, Peter Stone
2021 J jnl
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks.
CoRR
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
2021 A conf
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.
IROS
Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
2021 J jnl
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.
CoRR
Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
2021 A* conf
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle.
AAAI
Yu-Sian Jiang, Garrett Warnell, Peter Stone
2021 J jnl
Grounded action transformation for sim-to-real reinforcement learning.
Mach. Learn.
Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, Peter Stone
2021 J jnl
Importance sampling in reinforcement learning with an estimated behavior policy.
Mach. Learn.
Josiah P. Hanna, Scott Niekum, Peter Stone
2021 J jnl
Incorporating Gaze into Social Navigation.
CoRR
Justin W. Hart, Reuth Mirsky, Xuesu Xiao, Peter Stone
2021 J jnl
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain.
CoRR
Xuesu Xiao, Joydeep Biswas, Peter Stone
2021 J jnl
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain.
IEEE Robotics Autom. Lett.
Xuesu Xiao, Joydeep Biswas, Peter Stone
2021 J jnl
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction.
CoRR
Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone
2021 — conf
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning.
SSRR
Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, Peter Stone
2021 A* conf
Machine versus Human Attention in Deep Reinforcement Learning Tasks.
NeurIPS
Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana H. Ballard, Mary M. Hayhoe, Peter Stone
2021 A conf
Multiagent Epidemiologic Inference through Realtime Contact Tracing.
AAMAS
Guni Sharon, James Ault, Peter Stone, Varun Raj Kompella, Roberto Capobianco
2021 J jnl
Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference.
IEEE Trans. Autom. Control.
Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
2021 J jnl
Prevention and Resolution of Conflicts in Social Navigation - a Survey.
CoRR
Reuth Mirsky, Xuesu Xiao, Justin W. Hart, Peter Stone
2021 J jnl
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning.
CoRR
Eddy Hudson, Garrett Warnell, Peter Stone
2021 J jnl
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks.
CoRR
Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
2021 J jnl
Recent advances in leveraging human guidance for sequential decision-making tasks.
Auton. Agents Multi Agent Syst.
Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
2021 J jnl
Reward (Mis)design for Autonomous Driving.
CoRR
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2021 J jnl
RoboCup 2021 Worldwide: A Successful Robotics Competition During a Pandemic [Competitions].
IEEE Robotics Autom. Mag.
Peter Stone, Luca Iocchi, Flavio Tonidandel, Changjiu Zhou
2021 J jnl
Scalable Multiagent Driving Policies For Reducing Traffic Congestion.
CoRR
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone
2021 A conf
Scalable Multiagent Driving Policies for Reducing Traffic Congestion.
AAMAS
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone
2021 J jnl
Sequential Online Chore Division for Autonomous Vehicle Convoy Formation.
CoRR
Harel Yedidsion, Shani Alkoby, Peter Stone
2021 J jnl
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
CoRR
Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
2021 A conf
Team Orienteering Coverage Planning with Uncertain Reward.
IROS
Bo Liu, Xuesu Xiao, Peter Stone
2021 J jnl
Team Orienteering Coverage Planning with Uncertain Reward.
CoRR
Bo Liu, Xuesu Xiao, Peter Stone
2021 A* conf
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks.
AAAI
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone
2021 A conf
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care.
AAMAS
Reuth Mirsky, Peter Stone
2021 J jnl
Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination.
IEEE Robotics Autom. Lett.
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021 A* conf
Towards Safe Motion Planning in Human Workspaces: A Robust Multi-agent Approach.
ICRA
Shih-Yun Lo, Benito Fernandez, Peter Stone, Andrea Lockerd Thomaz
2021 C conf
UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions.
RoboCup
Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone
2021 J jnl
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation.
CoRR
Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
2021 A* conf
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation.
ICRA
Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin W. Hart, Peter Stone
2020 A* conf
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork.
IJCAI
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone
2020 J jnl
APPLD: Adaptive Planner Parameter Learning From Demonstration.
IEEE Robotics Autom. Lett.
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020 J jnl
APPLD: Adaptive Planner Parameter Learning from Demonstration.
CoRR
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020 J jnl
APPLI: Adaptive Planner Parameter Learning From Interventions.
CoRR
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020 J jnl
APPLR: Adaptive Planner Parameter Learning from Reinforcement.
CoRR
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2020 A conf
Agents Teaching Agents: A Survey on Inter-agent Transfer Learning.
AAMAS
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020 J jnl
Agents teaching agents: a survey on inter-agent transfer learning.
Auton. Agents Multi Agent Syst.
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020 J jnl
Agile Robot Navigation through Hallucinated Learning and Sober Deployment.
CoRR
Xuesu Xiao, Bo Liu, Peter Stone
2020 J jnl
An Imitation from Observation Approach to Sim-to-Real Transfer.
CoRR
Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020 A* conf
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.
NeurIPS
Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020 J jnl
Artificial Musical Intelligence: A Survey.
CoRR
Elad Liebman, Peter Stone
2020 A* conf
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning.
IJCAI
Ishan Durugkar, Elad Liebman, Peter Stone
2020 — conf
Benchmarking Metric Ground Navigation.
SSRR
Daniel Perille, Abigail Truong, Xuesu Xiao, Peter Stone
2020 J jnl
Benchmarking Metric Ground Navigation.
CoRR
Daniel Perille, Abigail Truong, Xuesu Xiao, Peter Stone
2020 J jnl
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.
CoRR
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
2020 J jnl
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.
J. Mach. Learn. Res.
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
2020 A conf
Deep R-Learning for Continual Area Sweeping.
IROS
Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone
2020 J jnl
Deep R-Learning for Continual Area Sweeping.
CoRR
Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone
2020 J jnl
Extended Abstract: Motion Planners Learned from Geometric Hallucination.
CoRR
Xuesu Xiao, Bo Liu, Peter Stone
2020 A* conf
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks.
NeurIPS
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
2020 J jnl
Human versus Machine Attention in Deep Reinforcement Learning Tasks.
CoRR
Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary M. Hayhoe, Dana H. Ballard, Peter Stone
2020 J jnl
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog.
J. Artif. Intell. Res.
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2020 B conf
Learning and Reasoning for Robot Dialog and Navigation Tasks.
SIGdial
Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2020 J jnl
Learning and Reasoning for Robot Dialog and Navigation Tasks.
CoRR
Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2020 Misc conf
Learning to Improve Multi-Robot Hallway Navigation.
CoRL
Jin Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, Peter Stone
2020 J jnl
Lifelong Navigation.
CoRR
Bo Liu, Xuesu Xiao, Peter Stone
2020 J jnl
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy.
CoRR
Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor
2020 J jnl
Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey.
CoRR
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020 J jnl
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.
IEEE Robotics Autom. Lett.
Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, Peter Stone
2020 A* conf
Reducing Sampling Error in Batch Temporal Difference Learning.
ICML
Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2020 J jnl
Reducing Sampling Error in Batch Temporal Difference Learning.
CoRR
Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2020 A conf
Reinforced Grounded Action Transformation for Sim-to-Real Transfer.
IROS
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020 J jnl
Reinforced Grounded Action Transformation for Sim-to-Real Transfer.
CoRR
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020 — conf
Reinforcement Learning for Optimization of COVID-19 Mitigation Policies.
AI4SG@AAAI Fall Symposium
Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2020 J jnl
Reinforcement Learning for Optimization of COVID-19 Mitigation policies.
CoRR
Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2020 J jnl
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response.
J. Artif. Gen. Intell.
Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield
2020 J jnl
Special issue on autonomous agents modelling other agents: Guest editorial.
Artif. Intell.
Stefano V. Albrecht, Peter Stone, Michael P. Wellman
2020 A conf
Stochastic Grounded Action Transformation for Robot Learning in Simulation.
IROS
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020 J jnl
Stochastic Grounded Action Transformation for Robot Learning in Simulation.
CoRR
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020 J jnl
Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks.
CoRR
Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone
2020 Misc conf
The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
CoRL
Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum
2020 J jnl
The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
CoRR
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
2020 J jnl
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation.
J. Artif. Intell. Res.
Shih-Yun Lo, Shiqi Zhang, Peter Stone
2020 A conf
The Sequential Online Chore Division Problem - Definition and Application.
AAMAS
Harel Yedidsion, Shani Alkoby, Peter Stone
2020 J jnl
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination.
CoRR
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020 B conf
Using Human-Inspired Signals to Disambiguate Navigational Intentions.
ICSR
Justin W. Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, Peter Stone
2020 J jnl
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots.
CoRR
Shiqi Zhang, Peter Stone
2019 A* conf
Ad Hoc Teamwork With Behavior Switching Agents.
IJCAI
Manish Ravula, Shani Alkoby, Peter Stone
2019 A conf
Adversarial Imitation Learning from State-only Demonstrations.
AAMAS
Faraz Torabi, Garrett Warnell, Peter Stone
2019 — conf
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games.
BRACIS
Felipe Leno da Silva, Anna Helena Reali Costa, Peter Stone
2019 J jnl
Desiderata for Planning Systems in General-Purpose Service Robots.
CoRR
Nick Walker, Yuqian Jiang, Maya Cakmak, Peter Stone
2019 A conf
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning.
AAMAS
Jacob Menashe, Peter Stone
2019 A* conf
Imitation Learning from Video by Leveraging Proprioception.
IJCAI
Faraz Torabi, Garrett Warnell, Peter Stone
2019 J jnl
Imitation Learning from Video by Leveraging Proprioception.
CoRR
Faraz Torabi, Garrett Warnell, Peter Stone
2019 A* conf
Importance Sampling Policy Evaluation with an Estimated Behavior Policy.
ICML
Josiah Hanna, Scott Niekum, Peter Stone
2019 A* conf
Improving Grounded Natural Language Understanding through Human-Robot Dialog.
ICRA
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019 J jnl
Improving Grounded Natural Language Understanding through Human-Robot Dialog.
CoRR
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019 A conf
Learning Curriculum Policies for Reinforcement Learning.
AAMAS
Sanmit Narvekar, Peter Stone
2019 A* conf
Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
IJCAI
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone
2019 J jnl
Leveraging Human Guidance for Deep Reinforcement Learning Tasks.
CoRR
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone
2019 A conf
Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks.
AAMAS
Guni Sharon, Stephen D. Boyles, Shani Alkoby, Peter Stone
2019 J jnl
Multi-robot planning with conflicts and synergies.
Auton. Robots
Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, Peter Stone
2019 A* conf
Open-World Reasoning for Service Robots.
ICAPS
Yuqian Jiang, Nick Walker, Justin W. Hart, Peter Stone
2019 B conf
Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance.
ICSR
Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019 J jnl
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.
CoRR
Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone
2019 J jnl
Reasoning about Hypothetical Agent Behaviours and their Parameters.
CoRR
Stefano V. Albrecht, Peter Stone
2019 A* conf
Recent Advances in Imitation Learning from Observation.
IJCAI
Faraz Torabi, Garrett Warnell, Peter Stone
2019 J jnl
Recent Advances in Imitation Learning from Observation.
CoRR
Faraz Torabi, Garrett Warnell, Peter Stone
2019 A conf
Reducing Sampling Error in Policy Gradient Learning.
AAMAS
Josiah P. Hanna, Peter Stone
2019 J jnl
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight].
IEEE Robotics Autom. Mag.
Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi
2019 — conf
Robust Motion Planning and Safety Benchmarking in Human Workspaces.
SafeAI@AAAI
Shih-Yun Lo, Shani Alkoby, Peter Stone
2019 J jnl
Sample-efficient Adversarial Imitation Learning from Observation.
CoRR
Faraz Torabi, Sean Geiger, Garrett Warnell, Peter Stone
2019 A* conf
Selecting Compliant Agents for Opt-in Micro-Tolling.
AAAI
Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone
2019 J jnl
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report.
CoRR
Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone
2019 J jnl
Task planning in robotics: an empirical comparison of PDDL- and ASP-based systems.
Frontiers Inf. Technol. Electron. Eng.
Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, Peter Stone
2019 A conf
Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots.
IROS
Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone
2019 A conf
Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork - The STAR Framework: Extended Abstract.
AAMAS
Shani Alkoby, Avilash Rath, Peter Stone
2019 J jnl
The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling.
MIS Q.
Elad Liebman, Maytal Saar-Tsechansky, Peter Stone
2019 C conf
UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions.
RoboCup
Patrick MacAlpine, Faraz Torabi, Brahma S. Pavse, Peter Stone
2019 J jnl
Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions.
CoRR
Justin W. Hart, Reuth Mirsky, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, Peter Stone
2018 J jnl
A Century Long Commitment to Assessing Artificial Intelligence and its Impact on Society.
CoRR
Barbara J. Grosz, Peter Stone
2018 A conf
A Stitch in Time - Autonomous Model Management via Reinforcement Learning.
AAMAS
Elad Liebman, Eric Zavesky, Peter Stone
2018 B conf
A Study of Human-Robot Copilot Systems for En-route Destination Changing.
RO-MAN
Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, Peter Stone
2018 J jnl
A century-long commitment to assessing artificial intelligence and its impact on society.
Commun. ACM
Barbara J. Grosz, Peter Stone
2018 J jnl
Ad hoc Teamwork and Moral Feedback as a Framework for Safe Agent Behavior.
CoRR
Shani Alkoby, Avilash Rath, Peter Stone
2018 A* conf
Adversarial Goal Generation for Intrinsic Motivation.
AAAI
Ishan Durugkar, Peter Stone
2018 J jnl
An Architecture for Person-Following using Active Target Search.
CoRR
Minkyu Kim, Miguel Arduengo, Nick Walker, Yuqian Jiang, Justin W. Hart, Peter Stone, Luis Sentis
2018 J jnl
An Empirical Comparison of PDDL-based and ASP-based Task Planners.
CoRR
Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, Peter Stone
2018 — conf
Autonomous Model Management via Reinforcement Learning.
AAAI Workshops
Elad Liebman, Eric Zavesky, Peter Stone
2018 J jnl
Autonomous agents modelling other agents: A comprehensive survey and open problems.
Artif. Intell.
Stefano V. Albrecht, Peter Stone
2018 A* conf
Behavioral Cloning from Observation.
IJCAI
Faraz Torabi, Garrett Warnell, Peter Stone
2018 J jnl
Behavioral Cloning from Observation.
CoRR
Faraz Torabi, Garrett Warnell, Peter Stone
2018 — conf
DIPD: Gaze-Based Intention Inference in Dynamic Environments.
AAAI Workshops
Yu-Sian Jiang, Garrett Warnell, Peter Stone
2018 A* conf
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.
AAAI
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2018 J jnl
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning.
CoRR
Prabhat Nagarajan, Garrett Warnell, Peter Stone
2018 A* conf
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation.
AAAI
Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh
2018 Misc conf
Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning.
ISAIM
Hamid Mirzaei Buini, Guni Sharon, Stephen D. Boyles, Tony Givargis, Peter Stone
2018 — conf
Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning.
ITSC
Hamid Mirzaei, Guni Sharon, Stephen D. Boyles, Tony Givargis, Peter Stone
2018 J jnl
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning.
CoRR
Jacob Menashe, Peter Stone
2018 J jnl
Generative Adversarial Imitation from Observation.
CoRR
Faraz Torabi, Garrett Warnell, Peter Stone
2018 A* conf
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions.
AAAI
Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018 J jnl
Importance Sampling Policy Evaluation with an Estimated Behavior Policy.
CoRR
Josiah Hanna, Scott Niekum, Peter Stone
2018 B conf
Inferring User Intention using Gaze in Vehicles.
ICMI
Yu-Sian Jiang, Garrett Warnell, Peter Stone
2018 J jnl
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots.
CoRR
Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone
2018 J jnl
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence.
CoRR
Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018 J jnl
LAAIR: A Layered Architecture for Autonomous Interactive Robots.
CoRR
Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin W. Hart, Scott Niekum, Luis Sentis, Peter Stone
2018 J jnl
Learning Curriculum Policies for Reinforcement Learning.
CoRR
Sanmit Narvekar, Peter Stone
2018 A* conf
Learning a Policy for Opportunistic Active Learning.
EMNLP
Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
2018 J jnl
Learning a Policy for Opportunistic Active Learning.
CoRR
Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
2018 A conf
Link-based Parameterized Micro-tolling Scheme for Optimal Traffic Management.
AAMAS
Hamid Mirzaei, Guni Sharon, Stephen D. Boyles, Tony Givargis, Peter Stone
2018 A* conf
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers.
IJCAI
Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
2018 — conf
On the Impact of Music on Decision Making in Cooperative Tasks.
ISMIR
Elad Liebman, Corey N. White, Peter Stone
2018 J jnl
Overlapping layered learning.
Artif. Intell.
Patrick MacAlpine, Peter Stone
2018 A conf
PETLON: Planning Efficiently for Task-Level-Optimal Navigation.
AAMAS
Shih-Yun Lo, Shiqi Zhang, Peter Stone
2018 A conf
PRISM: Pose Registration for Integrated Semantic Mapping.
IROS
Justin W. Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, Peter Stone
2018 B conf
Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability.
RO-MAN
Rolando Fernandez, Nathan John, Sean Kirmani, Justin W. Hart, Jivko Sinapov, Peter Stone
2018 — conf
Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers.
AAAI Spring Symposia
Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
2018 J jnl
Robot Representing and Reasoning with Knowledge from Reinforcement Learning.
CoRR
Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2018 — conf
State Abstraction Synthesis for Discrete Models of Continuous Domains.
AAAI Spring Symposia
Jacob Menashe, Peter Stone
2018 — conf
Towards a Data Efficient Off-Policy Policy Gradient.
AAAI Spring Symposia
Josiah P. Hanna, Peter Stone
2018 Misc conf
Traffic Optimization For a Mixture of Self-interested and Compliant Agents.
ISAIM
Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone
2018 A* conf
Traffic Optimization for a Mixture of Self-Interested and Compliant Agents.
AAAI
Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone
2018 C conf
UT Austin Villa: RoboCup 2018 3D Simulation League Champions.
RoboCup
Patrick MacAlpine, Faraz Torabi, Brahma S. Pavse, John Sigmon, Peter Stone
2018 J jnl
Variety Wins: Soccer-Playing Robots and Infant Walking.
Frontiers Neurorobotics
Ori Ossmy, Justine E. Hoch, Patrick MacAlpine, Shohan Hasan, Peter Stone, Karen E. Adolph
2017 — conf
A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections.
AAMAS Workshops (Selected Papers)
Guni Sharon, Peter Stone
2017 A conf
Agent Behaviors for Joining and Leaving a Flock.
AAMAS
Katie Genter, Peter Stone
2017 A* conf
Automated Design of Robust Mechanisms.
AAAI
Michael Albert, Vincent Conitzer, Peter Stone
2017 A* conf
Automatic Curriculum Graph Generation for Reinforcement Learning Agents.
AAAI
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone
2017 J jnl
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems.
CoRR
Stefano V. Albrecht, Peter Stone
2017 A conf
Autonomous Model Management via Reinforcement Learning: Extended Abstract.
AAMAS
Elad Liebman, Eric Zavesky, Peter Stone
2017 A* conf
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning.
IJCAI
Sanmit Narvekar, Jivko Sinapov, Peter Stone
2017 J jnl
BWIBots: A platform for bridging the gap between AI and human-robot interaction research.
Int. J. Robotics Res.
Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone
2017 A* conf
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
AAAI
Josiah P. Hanna, Peter Stone, Scott Niekum
2017 A conf
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
AAMAS
Josiah P. Hanna, Peter Stone, Scott Niekum
2017 — conf
CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression.
HotStorage
Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, Peter Stone
2017 A* conf
Data-Efficient Policy Evaluation Through Behavior Policy Search.
ICML
Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum
2017 J jnl
Data-Efficient Policy Evaluation Through Behavior Policy Search.
CoRR
Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum
2017 J jnl
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.
CoRR
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2017 A* conf
Designing Better Playlists with Monte Carlo Tree Search.
AAAI
Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone
2017 A* conf
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning.
AAAI
Shiqi Zhang, Piyush Khandelwal, Peter Stone
2017 — conf
Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges.
AAMAS Workshops (Selected Papers)
Patrick MacAlpine, Peter Stone
2017 J jnl
Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.
CoRR
Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
2017 C conf
Fast and Precise Black and White Ball Detection for RoboCup Soccer.
RoboCup
Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
2017 A* conf
Grounded Action Transformation for Robot Learning in Simulation.
AAAI
Josiah P. Hanna, Peter Stone
2017 A* conf
Grounded Action Transformation for Robot Learning in Simulation.
AAAI
Josiah P. Hanna, Peter Stone
2017 J jnl
Intrinsically motivated model learning for developing curious robots.
Artif. Intell.
Todd Hester, Peter Stone
2017 A conf
Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems.
IROS
Dongcai Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2017 J jnl
Machine Learning Capabilities of a Simulated Cerebellum.
IEEE Trans. Neural Networks Learn. Syst.
Matthew J. Hausknecht, Wen-Ke Li, Michael D. Mauk, Peter Stone
2017 J jnl
Making friends on the fly: Cooperating with new teammates.
Artif. Intell.
Samuel Barrett, Avi Rosenfeld, Sarit Kraus, Peter Stone
2017 A conf
Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms?
AAMAS
Michael Albert, Vincent Conitzer, Peter Stone
2017 A conf
Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests.
AAMAS
Piyush Khandelwal, Peter Stone
2017 — conf
Multiagent Learning Paradigms.
EUMAS/AT
Karl Tuyls, Peter Stone
2017 A conf
Multirobot Symbolic Planning under Temporal Uncertainty.
AAMAS
Shiqi Zhang, Yuqian Jiang, Guni Sharon, Peter Stone
2017 J jnl
Multirobot Systems.
IEEE Intell. Syst.
Tsz-Chiu Au, Bikramjit Banerjee, Prithviraj Dasgupta, Peter Stone
2017 Misc conf
Opportunistic Active Learning for Grounding Natural Language Descriptions.
CoRL
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney
2017 — ch.
Q-Learning.
Encyclopedia of Machine Learning and Data Mining
Peter Stone
2017 A conf
Reasoning about Hypothetical Agent Behaviours and their Parameters.
AAMAS
Stefano V. Albrecht, Peter Stone
2017 — ch.
Reinforcement Learning.
Encyclopedia of Machine Learning and Data Mining
Peter Stone
2017 J jnl
Special issue on multiagent interaction without prior coordination: guest editorial.
Auton. Agents Multi Agent Syst.
Stefano V. Albrecht, Somchaya Liemhetcharat, Peter Stone
2017 A conf
Three Years of the RoboCup Standard Platform League Drop-In Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition.
AAMAS
Katie Genter, Tim Laue, Peter Stone
2017 J jnl
Three years of the RoboCup standard platform league drop-in player competition - Creating and maintaining a large scale ad hoc teamwork robotics competition.
Auton. Agents Multi Agent Syst.
Katie Genter, Tim Laue, Peter Stone
2017 J jnl
Traffic Optimization For a Mixture of Self-interested and Compliant Agents.
CoRR
Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone
2017 C conf
UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions.
RoboCup
Patrick MacAlpine, Peter Stone
2016 J jnl
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making.
Artif. Intell.
Matteo Leonetti, Luca Iocchi, Peter Stone
2016 — conf
Adaptation of Surrogate Tasks for Bipedal Walk Optimization.
GECCO (Companion)
Patrick MacAlpine, Elad Liebman, Peter Stone
2016 A conf
Adding Influencing Agents to a Flock.
AAMAS
Katie Genter, Peter Stone
2016 — conf
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis.
AAAI Workshop: AI for Smart Grids and Smart Buildings
Daniel Urieli, Peter Stone
2016 A conf
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis.
AAMAS
Daniel Urieli, Peter Stone
2016 A* conf
Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market.
AAAI
Daniel Urieli, Peter Stone
2016 A conf
Autonomous Learning Agents: Layered Learning and Ad Hoc Teamwork.
AAMAS
Peter Stone
2016 A* conf
Deep Reinforcement Learning in Parameterized Action Space.
ICLR (Poster)
Matthew J. Hausknecht, Peter Stone
2016 — conf
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput.
ATT@IJCAI
Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, Stephen D. Boyles
2016 — conf
Dynamic behaviors on the NAO robot with closed-loop whole body operational space control.
Humanoids
Donghyun Kim, Steven Jens Jorgensen, Peter Stone, Luis Sentis
2016 J jnl
High Confidence Off-Policy Evaluation with Models.
CoRR
Josiah P. Hanna, Peter Stone, Scott Niekum
2016 — conf
Impact of Music on Decision Making in Quantitative Tasks.
ISMIR
Elad Liebman, Peter Stone, Corey N. White
2016 A* conf
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy".
IJCAI
Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney
2016 A* conf
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors.
IJCAI
Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, Peter Stone
2016 A* conf
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search.
ICML
Piyush Khandelwal, Elad Liebman, Scott Niekum, Peter Stone
2016 J jnl
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data.
CoRR
Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton, Peter Stone, Antonio Liotta
2016 C conf
Prioritized Role Assignment for Marking.
RoboCup
Patrick MacAlpine, Peter Stone
2016 A* conf
Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots.
IJCAI
Shiqi Zhang, Dongcai Lu, Xiaoping Chen, Peter Stone
2016 A conf
Source Task Creation for Curriculum Learning.
AAMAS
Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone
2016 C conf
UT Austin Villa RoboCup 3D Simulation Base Code Release.
RoboCup
Patrick MacAlpine, Peter Stone
2016 J jnl
UT Austin Villa: Project-Driven Research in AI and Robotics.
IEEE Intell. Syst.
Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
2016 C conf
UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions.
RoboCup
Patrick MacAlpine, Peter Stone
2016 A* conf
What's Hot at RoboCup.
AAAI
Peter Stone
2015 C conf
A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer.
RoboCup
David Leonardo Leottau, Javier Ruiz-del-Solar, Patrick MacAlpine, Peter Stone
2015 — conf
Autonomous Electricity Trading Using Time-Of-Use Tariffs in a Competitive Market.
AAAI Fall Symposia
Daniel Urieli, Peter Stone
2015 A conf
Benchmarking robot cooperation without pre-coordination in the RoboCup Standard Platform League drop-in player competition.
IROS
Katie Genter, Tim Laue, Peter Stone
2015 A* conf
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot.
AAAI
Shiqi Zhang, Peter Stone
2015 — conf
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot.
AAAI Spring Symposia
Shiqi Zhang, Peter Stone
2015 A* conf
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork.
AAAI
Samuel Barrett, Peter Stone
2015 A conf
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
AAMAS
Elad Liebman, Maytal Saar-Tsechansky, Peter Stone
2015 — conf
Deep Recurrent Q-Learning for Partially Observable MDPs.
AAAI Fall Symposia
Matthew J. Hausknecht, Peter Stone
2015 J jnl
Deep Recurrent Q-Learning for Partially Observable MDPs.
CoRR
Matthew J. Hausknecht, Peter Stone
2015 A conf
Defender Strategies In Domains Involving Frequent Adversary Interaction.
AAMAS
Fei Fang, Peter Stone, Milind Tambe
2015 A conf
Determining Placements of Influencing Agents in a Flock.
AAMAS
Katie Genter, Shun Zhang, Peter Stone
2015 J jnl
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance.
Artif. Intell.
W. Bradley Knox, Peter Stone
2015 — conf
How Music Alters Decision Making - Impact of Music Stimuli on Emotional Classification.
ISMIR
Elad Liebman, Peter Stone, Corey N. White
2015 A conf
Leading the Way: An Efficient Multi-robot Guidance System.
AAMAS
Piyush Khandelwal, Samuel Barrett, Peter Stone
2015 A conf
Learning Inter-Task Transferability in the Absence of Target Task Samples.
AAMAS
Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone
2015 A* conf
Learning to Interpret Natural Language Commands through Human-Robot Dialog.
IJCAI
Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone
2015 B conf
Mobile Robot Planning Using Action Language
LPNMR
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, Peter Stone
2015 A conf
Monte Carlo Hierarchical Model Learning.
AAMAS
Jacob Menashe, Peter Stone
2015 A conf
Monte Carlo Hierarchical Model Learning: (Doctoral Consortium).
AAMAS
Jacob Menashe, Peter Stone
2015 A* conf
Placing Influencing Agents in a Flock.
AAAI
Katie Genter, Peter Stone
2015 J jnl
Representative Selection in Non Metric Datasets.
CoRR
Elad Liebman, Benny Chor, Peter Stone
2015 J jnl
Representative Selection in Nonmetric Datasets.
Appl. Artif. Intell.
Elad Liebman, Benny Chor, Peter Stone
2015 B conf
Robot-Centric Activity Recognition 'in the Wild'.
ICSR
Ilaria Gori, Jivko Sinapov, Priyanka Khante, Peter Stone, J. K. Aggarwal
2015 A* conf
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning.
AAAI
Patrick MacAlpine, Eric Price, Peter Stone
2015 — conf
The Impact of Determinism on Learning Atari 2600 Games.
AAAI Workshop: Learning for General Competency in Video Games
Matthew J. Hausknecht, Peter Stone
2015 A conf
The RoboCup 2014 SPL Drop-in Player Competition: Encouraging Teamwork without Pre-coordination.
AAMAS
Katie Genter, Tim Laue, Peter Stone
2015 A* conf
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning.
AAAI
Patrick MacAlpine, Mike Depinet, Peter Stone
2015 C conf
UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions.
RoboCup
Patrick MacAlpine, Josiah Hanna, Jason Liang, Peter Stone
2015 A* conf
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
IJCAI
Fei Fang, Peter Stone, Milind Tambe
2015 J jnl
Who speaks for AI?
AI Matters
Eric Eaton, Tom Dietterich, Maria L. Gini, Barbara J. Grosz, Charles L. Isbell Jr., Subbarao Kambhampati, Michael L. Littman, Francesca Rossi, Stuart Russell, Peter Stone, Toby Walsh, Michael J. Wooldridge
2014 J jnl
A Neuroevolution Approach to General Atari Game Playing.
IEEE Trans. Comput. Intell. AI Games
Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone
2014 A conf
Communicating with Unknown Teammates.
ECAI
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, Peter Stone
2014 A conf
Communicating with unknown teammates.
AAMAS
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, Peter Stone
2014 J jnl
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
CoRR
Elad Liebman, Peter Stone
2014 J jnl
Drop-in games at RoboCup.
AI Matters
Peter Stone, Patrick MacAlpine, Katie Genter, Samuel Barrett
2014 — conf
Influencing a Flock via Ad Hoc Teamwork.
ANTS Conference
Katie Long Genter, Peter Stone
2014 C conf
Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League.
RoboCup
Mike Depinet, Patrick MacAlpine, Peter Stone
2014 — conf
Leading the Way: An Efficient Multi-Robot Guidance System.
AAAI Fall Symposia
Piyush Khandelwal, Peter Stone
2014 A conf
Modeling uncertainty in leading ad hoc teams.
AAMAS
Noa Agmon, Samuel Barrett, Peter Stone
2014 — conf
Multi-Robot Human Guidance Using Topological Graphs.
AAAI Spring Symposia
Piyush Khandelwal, Peter Stone
2014 J jnl
Multiagent learning in the presence of memory-bounded agents.
Auton. Agents Multi Agent Syst.
Doran Chakraborty, Peter Stone
2014 A conf
Orienting a flock via ad hoc teamwork.
AAMAS
Katie Genter, Peter Stone
2014 A* conf
Planning in Action Language BC while Learning Action Costs for Mobile Robots.
ICAPS
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone
2014 — conf
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots.
AAAI Spring Symposia
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone
2014 A* ed.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.
AAAI
Carla E. Brodley, Peter Stone
2014 J jnl
RoboCup Soccer Leagues.
AI Mag.
Daniele Nardi, Itsuki Noda, A. Fernando Ribeiro, Peter Stone, Oskar von Stryk, Manuela M. Veloso
2014 A conf
SCRAM: scalable collision-avoiding role assignment with minimal-makespan for formational positioning.
AAMAS
Patrick MacAlpine, Eric Price, Peter Stone
2014 A conf
Semi-autonomous intersection management.
AAMAS
Tsz-Chiu Au, Shun Zhang, Peter Stone
2014 A* conf
TacTex'13: A Champion Adaptive Power Trading Agent.
AAAI
Daniel Urieli, Peter Stone
2014 A conf
TacTex'13: a champion adaptive power trading agent.
AAMAS
Daniel Urieli, Peter Stone
2014 A conf
The RoboCup 2013 drop-in player challenges: Experiments in ad hoc teamwork.
IROS
Patrick MacAlpine, Katie Genter, Samuel Barrett, Peter Stone
2014 A conf
The RoboCup 2013 drop-in player challenges: a testbed for ad hoc teamwork.
AAMAS
Patrick MacAlpine, Katie Long Genter, Samuel Barrett, Peter Stone
2014 C conf
UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions.
RoboCup
Patrick MacAlpine, Mike Depinet, Jason Liang, Peter Stone
2013 A conf
A learning agent for heat-pump thermostat control.
AAMAS
Daniel Urieli, Peter Stone
2013 A conf
Ad hoc teamwork for leading a flock.
AAMAS
Katie Long Genter, Noa Agmon, Peter Stone
2013 — conf
Auction-based autonomous intersection management.
ITSC
Dustin Carlino, Stephen D. Boyles, Peter Stone
2013 A conf
Cooperating with a markovian ad hoc teammate.
AAMAS
Doran Chakraborty, Peter Stone
2013 A conf
Humanoid robots learning to walk faster: from the real world to simulation and back.
AAMAS
Alon Farchy, Samuel Barrett, Patrick MacAlpine, Peter Stone
2013 A conf
Learning exploration strategies in model-based reinforcement learning.
AAMAS
Todd Hester, Manuel Lopes, Peter Stone
2013 A conf
Learning non-myopically from human-generated reward.
IUI
W. Bradley Knox, Peter Stone
2013 — conf
Model-Selection for Non-parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System.
ECML/PKDD (1)
Daniel Urieli, Peter Stone
2013 C ed.
RoboCup 2012: Robot Soccer World Cup XVI [papers from the 16th Annual RoboCup International Symposium, Mexico City, Mexico, June 18-24, 2012].
RoboCup
Xiaoping Chen, Peter Stone, Luis Enrique Sucar, Tijn van der Zant
2013 J jnl
TEXPLORE: real-time sample-efficient reinforcement learning for robots.
Mach. Learn.
Todd Hester, Peter Stone
2013 — conf
Teaching agents with human feedback: a demonstration of the TAMER framework.
IUI Companion
W. Bradley Knox, Peter Stone, Cynthia Breazeal
2013 J jnl
Teaching and leading an ad hoc teammate: Collaboration without pre-coordination.
Artif. Intell.
Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein, Noa Agmon
2013 A* conf
Teamwork with Limited Knowledge of Teammates.
AAAI
Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld
2013 C conf
The 2012 UT Austin Villa Code Release.
RoboCup
Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone
2013 C conf
The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots.
RoboCup
Todd Hester, Peter Stone
2013 B conf
Training a Robot via Human Feedback: A Case Study.
ICSR
W. Bradley Knox, Peter Stone, Cynthia Breazeal
2013 J jnl
Using a million cell simulation of the cerebellum: Network scaling and task generality.
Neural Networks
Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, Michael D. Mauk
2012 — conf
A Platform for Evaluating Autonomous Intersection Management Policies.
ICCPS
Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au, Peter Stone, Christine Julien, Sriram Vishwanath
2012 A conf
An analysis framework for ad hoc teamwork tasks.
AAMAS
Samuel Barrett, Peter Stone
2012 — conf
Approximately Orchestrated Routing and Transportation Analyzer: Large-scale traffic simulation for autonomous vehicles.
ITSC
Dustin Carlino, Mike Depinet, Piyush Khandelwal, Peter Stone
2012 A* conf
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition.
AAAI
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, Peter Stone
2012 J jnl
Empowerment for Continuous Agent-Environment Systems
CoRR
Tobias Jung, Daniel Polani, Peter Stone
2012 A conf
Evasion planning for autonomous vehicles at intersections.
IROS
Tsz-Chiu Au, Chien-Liang Fok, Sriram Vishwanath, Christine Julien, Peter Stone
2012 J jnl
Feature Selection for Value Function Approximation Using Bayesian Model Selection
CoRR
Tobias Jung, Peter Stone
2012 J jnl
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-like Exploration
CoRR
Tobias Jung, Peter Stone
2012 J jnl
How Humans Teach Agents - A New Experimental Perspective.
Int. J. Soc. Robotics
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone
2012 A conf
HyperNEAT-GGP: a hyperNEAT-based atari general game player.
GECCO
Matthew J. Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone
2012 — conf
Intrinsically motivated model learning for a developing curious agent.
ICDL-EPIROB
Todd Hester, Peter Stone
2012 A conf
Leading ad hoc agents in joint action settings with multiple teammates.
AAMAS
Noa Agmon, Peter Stone
2012 — ch.
Learning and Using Models.
Reinforcement Learning
Todd Hester, Peter Stone
2012 A* conf
On coordination in practical multi-robot patrol.
ICRA
Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter Stone, Christine Julien, Sriram Vishwanath
2012 A* conf
PAC Subset Selection in Stochastic Multi-armed Bandits.
ICML
Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone
2012 — conf
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System.
MAPF@AAAI
Patrick MacAlpine, Francisco Barrera, Peter Stone
2012 C conf
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System.
RoboCup
Patrick MacAlpine, Francisco Barrera, Peter Stone
2012 A* conf
RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for robot control.
ICRA
Todd Hester, Michael J. Quinlan, Peter Stone
2012 B conf
Reinforcement learning from human reward: Discounting in episodic tasks.
RO-MAN
W. Bradley Knox, Peter Stone
2012 A conf
Reinforcement learning from simultaneous human and MDP reward.
AAMAS
W. Bradley Knox, Peter Stone
2012 A conf
Role selection in ad hoc teamwork.
AAMAS
Katie Long Genter, Noa Agmon, Peter Stone
2012 A* conf
Setpoint scheduling for autonomous vehicle controllers.
ICRA
Tsz-Chiu Au, Michael J. Quinlan, Peter Stone
2012 — conf
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots.
AAAI Spring Symposium: Designing Intelligent Robots
Todd Hester, Peter Stone
2012 J jnl
Ten Years of AAMAS: Introduction to the Special Issue.
AI Mag.
Liz Sonenberg, Peter Stone, Kagan Tumer, Pinar Yolum
2012 A conf
UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition.
AAMAS
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, Peter Stone
2012 C conf
UT Austin Villa 2012: Standard Platform League World Champions.
RoboCup
Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone
2012 C conf
UT Austin Villa: RoboCup 2012 3D Simulation League Champion.
RoboCup
Patrick MacAlpine, Nick Collins, Adrian Lopez-Mobilia, Peter Stone
2012 A conf
Video: RoboCup robot soccer history 1997 - 2011.
IROS
Manuela M. Veloso, Peter Stone
2011 A ed.
10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan, May 2-6, 2011, Volume 1-3
AAMAS
Liz Sonenberg, Peter Stone, Kagan Tumer, Pinar Yolum
2011 C conf
A Low Cost Ground Truth Detection System for RoboCup Using the Kinect.
RoboCup
Piyush Khandelwal, Peter Stone
2011 J jnl
A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control
CoRR
Todd Hester, Michael J. Quinlan, Peter Stone
2011 A conf
A particle filter for bid estimation in ad auctions with periodic ranking observations.
AAMAS
David Pardoe, Peter Stone
2011 J jnl
ATTac-2000: An Adaptive Autonomous Bidding Agent
CoRR
Michael J. Kearns, Michael L. Littman, Satinder Singh, Peter Stone
2011 A* conf
Ad Hoc Teamwork in Variations of the Pursuit Domain.
AAAI
Samuel Barrett, Peter Stone
2011 J jnl
An Introduction to Intertask Transfer for Reinforcement Learning.
AI Mag.
Matthew E. Taylor, Peter Stone
2011 A conf
Autonomous Intersection Management: Multi-intersection optimization.
IROS
Matthew J. Hausknecht, Tsz-Chiu Au, Peter Stone
2011 A conf
Batch reservations in autonomous intersection management.
AAMAS
Neda Shahidi, Tsz-Chiu Au, Peter Stone
2011 J jnl
Characterizing reinforcement learning methods through parameterized learning problems.
Mach. Learn.
Shivaram Kalyanakrishnan, Peter Stone
2011 A* conf
Comparing Agents' Success against People in Security Domains.
AAAI
Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone
2011 J jnl
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions
CoRR
János A. Csirik, Michael L. Littman, David A. McAllester, Robert E. Schapire, Peter Stone
2011 J jnl
Designing adaptive trading agents.
SIGecom Exch.
David Pardoe, Peter Stone
2011 — conf
Dynamic lane reversal in traffic management.
ITSC
Matthew J. Hausknecht, Tsz-Chiu Au, Peter Stone, David Fajardo, S. Travis Waller
2011 A conf
Empirical evaluation of ad hoc teamwork in the pursuit domain.
AAMAS
Samuel Barrett, Peter Stone, Sarit Kraus
2011 J jnl
Empowerment for continuous agent - environment systems.
Adapt. Behav.
Tobias Jung, Daniel Polani, Peter Stone
2011 A* conf
Enforcing Liveness in Autonomous Traffic Management.
AAAI
Tsz-Chiu Au, Neda Shahidi, Peter Stone
2011 — conf
Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles.
AAMAS Workshops
Paul Scerri, Balajee Kannan, Prasanna Velagapudi, Kate Macarthur, Peter Stone, Matthew E. Taylor, John M. Dolan, Alessandro Farinelli, Archie C. Chapman, Bernadine Dias, George Kantor
2011 — conf
Intersections of the Future: Using Fully Autonomous Vehicles.
ADMI
Peter Stone
2011 — conf
Invited Talk: PRISM - Practical RL: Representation, Interaction, Synthesis, and Mortality.
EWRL
Peter Stone
2011 — conf
Leading Multiple Ad Hoc Teammates in Joint Action Settings.
Interactive Decision Theory and Game Theory
Noa Agmon, Peter Stone
2011 A* conf
Multiagent Patrol Generalized to Complex Environmental Conditions.
AAAI
Noa Agmon, Daniel Urieli, Peter Stone
2011 — conf
On learning with imperfect representations.
ADPRL
Shivaram Kalyanakrishnan, Peter Stone
2011 A conf
On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer.
AAMAS
Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, Peter Stone
2011 — conf
Protecting against evaluation overfitting in empirical reinforcement learning.
ADPRL
Shimon Whiteson, Brian Tanner, Matthew E. Taylor, Peter Stone
2011 — conf
Reinforcement Learning with Human Feedback in Mountain Car.
AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration
W. Bradley Knox, Adam Bradley Setapen, Peter Stone
2011 A* conf
Role-Based Ad Hoc Teamwork.
AAAI
Katie Long Genter, Noa Agmon, Peter Stone
2011 — conf
Role-Based Ad Hoc Teamwork.
Plan, Activity, and Intent Recognition
Katie Long Genter, Noa Agmon, Peter Stone
2011 A conf
Ship patrol: multiagent patrol under complex environmental conditions.
AAMAS
Noa Agmon, Daniel Urieli, Peter Stone
2011 A* conf
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree.
ICML
Doran Chakraborty, Peter Stone
2011 C conf
WrightEagle and UT Austin Villa: RoboCup 2011 Simulation League Champions.
RoboCup
Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Peter Stone
2010 A* conf
Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination.
AAAI
Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein
2010 J jnl
Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge.
INFORMS J. Comput.
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, Kerem Tomak
2010 J jnl
Autonomous return on investment analysis of additional processing resources.
Int. J. Auton. Comput.
Jonathan Wildstrom, Peter Stone, Emmett Witchel
2010 A* conf
Boosting for Regression Transfer.
ICML
David Pardoe, Peter Stone
2010 A conf
Bringing simulation to life: A mixed reality autonomous intersection.
IROS
Michael J. Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone
2010 A conf
Combining manual feedback with subsequent MDP reward signals for reinforcement learning.
AAMAS
W. Bradley Knox, Peter Stone
2010 A* conf
Convergence, Targeted Optimality, and Safety in Multiagent Learning.
ICML
Doran Chakraborty, Peter Stone
2010 J jnl
Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning.
Auton. Agents Multi Agent Syst.
Shimon Whiteson, Matthew E. Taylor, Peter Stone
2010 A* conf
Efficient Selection of Multiple Bandit Arms: Theory and Practice.
ICML
Shivaram Kalyanakrishnan, Peter Stone
2010 — conf
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration.
ECML/PKDD (1)
Tobias Jung, Peter Stone
2010 A* conf
Generalized model learning for Reinforcement Learning on a humanoid robot.
ICRA
Todd Hester, Michael J. Quinlan, Peter Stone
2010 C conf
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker.
RoboCup
Matthew J. Hausknecht, Peter Stone
2010 A conf
MARIOnET: motion acquisition for robots through iterative online evaluative training.
AAMAS
Adam Setapen, Michael J. Quinlan, Peter Stone
2010 — conf
Motion Planning Algorithms for Autonomous Intersection Management.
Bridging the Gap Between Task and Motion Planning
Tsz-Chiu Au, Peter Stone
2010 — ch.
Multi-Agent Social Simulation.
Handbook of Ambient Intelligence and Smart Environments
Itsuki Noda, Peter Stone, Tomohisa Yamashita, Koichi Kurumatani
2010 A conf
Online model learning in adversarial Markov decision processes.
AAMAS
Doran Chakraborty, Peter Stone
2010 — ch.
Q-Learning.
Encyclopedia of Machine Learning
Peter Stone
2010 — conf
Real time targeted exploration in large domains.
ICDL
Todd Hester, Peter Stone
2010 — ch.
Reinforcement Learning.
Encyclopedia of Machine Learning
Peter Stone
2010 A conf
TacTex09: a champion bidding agent for ad auctions.
AAMAS
David Pardoe, Doran Chakraborty, Peter Stone
2010 A conf
To teach or not to teach?: decision making under uncertainty in ad hoc teams.
AAMAS
Peter Stone, Sarit Kraus
2010 A conf
Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework.
AAMAS
W. Bradley Knox, Peter Stone
2009 — conf
A Task Specification Language for Bootstrap Learning.
AAAI Spring Symposium: Agents that Learn from Human Teachers
Ian R. Fasel, Michael J. Quinlan, Peter Stone
2009 — conf
A task specification language for bootstrap learning.
AAMAS (2)
Ian R. Fasel, Michael J. Quinlan, Peter Stone
2009 — ch.
An Unmanaged Intersection Protocol and Improved Intersection Safety for Autonomous Vehicles.
Multi-Agent Systems for Traffic and Transportation Engineering
Kurt M. Dresner, Peter Stone, Mark Van Middlesworth
2009 — conf
An empirical analysis of value function-based and policy search reinforcement learning.
AAMAS (2)
Shivaram Kalyanakrishnan, Peter Stone
2009 J jnl
Color learning and illumination invariance on mobile robots: A survey.
Robotics Auton. Syst.
Mohan Sridharan, Peter Stone
2009 — conf
Compositional Models for Reinforcement Learning.
ECML/PKDD (1)
Nicholas K. Jong, Peter Stone
2009 — conf
Design Principles for Creating Human-Shapable Agents.
AAAI Spring Symposium: Agents that Learn from Human Teachers
W. Bradley Knox, Ian R. Fasel, Peter Stone
2009 — conf
Feature Selection for Value Function Approximation Using Bayesian Model Selection.
ECML/PKDD (1)
Tobias Jung, Peter Stone
2009 — conf
Generalized model learning for reinforcement learning in factored domains.
AAMAS (2)
Todd Hester, Peter Stone
2009 A conf
Improving particle filter performance using SSE instructions.
IROS
Peter Djeu, Michael J. Quinlan, Peter Stone
2009 B conf
Interactively shaping agents via human reinforcement: the TAMER framework.
K-CAP
W. Bradley Knox, Peter Stone
2009 — conf
Leading a Best-Response Teammate in an Ad Hoc Team.
AMEC/TADA
Peter Stone, Gal A. Kaminka, Jeffrey S. Rosenschein
2009 C conf
Learning Complementary Multiagent Behaviors: A Case Study.
RoboCup
Shivaram Kalyanakrishnan, Peter Stone
2009 — conf
Learning complementary multiagent behaviors: a case study.
AAMAS (2)
Shivaram Kalyanakrishnan, Peter Stone
2009 C conf
Three Humanoid Soccer Platforms: Comparison and Synthesis.
RoboCup
Shivaram Kalyanakrishnan, Todd Hester, Michael J. Quinlan, Yinon Bentor, Peter Stone
2009 J jnl
Transfer Learning for Reinforcement Learning Domains: A Survey.
J. Mach. Learn. Res.
Matthew E. Taylor, Peter Stone
2008 J jnl
A Multiagent Approach to Autonomous Intersection Management.
J. Artif. Intell. Res.
Kurt M. Dresner, Peter Stone
2008 — conf
Autonomous transfer for reinforcement learning.
AAMAS (1)
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
2008 J jnl
Book announcement: autonomous bidding agents.
SIGecom Exch.
Michael P. Wellman, Amy Greenwald, Peter Stone
2008 — conf
CARVE: A Cognitive Agent for Resource Value Estimation.
ICAC
Jonathan Wildstrom, Peter Stone, Emmett Witchel
2008 — conf
Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot.
VISAPP (Workshop on Robot Perception)
Mohan Sridharan, Peter Stone
2008 C conf
Domestic Interaction on a Segway Base.
RoboCup
W. Bradley Knox, Juhyun Lee, Peter Stone
2008 — conf
Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot.
VISAPP (2)
Mohan Sridharan, Peter Stone
2008 A* conf
Maximum likelihood estimation of sensor and action model functions on a mobile robot.
ICRA
Daniel Stronger, Peter Stone
2008 — conf
Mitigating catastrophic failure at intersections of autonomous vehicles.
AAMAS (3)
Kurt M. Dresner, Peter Stone
2008 A* conf
Negative information and line observations for Monte Carlo localization.
ICRA
Todd Hester, Peter Stone
2008 — conf
Online Multiagent Learning against Memory Bounded Adversaries.
ECML/PKDD (1)
Doran Chakraborty, Peter Stone
2008 A* conf
Online kernel selection for Bayesian reinforcement learning.
ICML
Joseph Reisinger, Peter Stone, Risto Miikkulainen
2008 A* conf
Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration.
ICRA
W. Bradley Knox, Juhyun Lee, Peter Stone
2008 A* conf
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback.
ICRA
Juhyun Lee, Peter Stone
2008 J jnl
Polynomial Regression with Automated Degree: a Function Approximator for Autonomous Agents.
Int. J. Artif. Intell. Tools
Daniel Stronger, Peter Stone
2008 — conf
Replacing the stop sign: unmanaged intersection control for autonomous vehicles.
AAMAS (3)
Mark Van Middlesworth, Kurt M. Dresner, Peter Stone
2008 — conf
The 2007 TAC SCM Prediction Challenge.
AMEC/TADA
David Pardoe, Peter Stone
2008 — conf
The utility of temporal abstraction in reinforcement learning.
AAMAS (1)
Nicholas K. Jong, Todd Hester, Peter Stone
2008 — conf
Transfer Learning and Intelligence: an Argument and Approach.
AGI
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
2008 — conf
Transferring Instances for Model-Based Reinforcement Learning.
ECML/PKDD (2)
Matthew E. Taylor, Nicholas K. Jong, Peter Stone
2007 A* conf
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot.
ICRA
Daniel Stronger, Peter Stone
2007 C conf
A Neural Network-Based Approach to Robot Motion Control.
RoboCup
Uli Grasemann, Daniel Stronger, Peter Stone
2007 — conf
Adapting Price Predictions in TAC SCM.
AMEC/TADA
David Pardoe, Peter Stone
2007 A conf
Adapting in agent-based markets: a study from TAC SCM.
AAMAS
David Pardoe, Peter Stone
2007 — conf
Autonomous Return on Investment Analysis of Additional Processing Resources.
ICAC
Jonathan Wildstrom, Peter Stone, Emmett Witchel
2007 — book
Autonomous bidding agents - strategies and lessons from the trading agent competition.
Michael P. Wellman, Amy Greenwald, Peter Stone
2007 A conf
Batch reinforcement learning in a complex domain.
AAMAS
Shivaram Kalyanakrishnan, Peter Stone
2007 A* conf
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination.
IJCAI
Mohan Sridharan, Peter Stone
2007 A* conf
Cross-domain transfer for reinforcement learning.
ICML
Matthew E. Taylor, Peter Stone
2007 J jnl
Empirical Studies in Action Selection with Reinforcement Learning.
Adapt. Behav.
Shimon Whiteson, Matthew E. Taylor, Peter Stone
2007 A* conf
General Game Learning Using Knowledge Transfer.
IJCAI
Bikramjit Banerjee, Peter Stone
2007 A conf
Global action selection for illumination invariant color modeling.
IROS
Mohan Sridharan, Peter Stone
2007 — conf
Graph-Based Domain Mapping for Transfer Learning in General Games.
ECML
Gregory Kuhlmann, Peter Stone
2007 A conf
IFSA: incremental feature-set augmentation for reinforcement learning tasks.
AAMAS
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
2007 C conf
Instance-Based Action Models for Fast Action Planning.
RoboCup
Mazda Ahmadi, Peter Stone
2007 — book
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Intelligent Autonomous Robotics
Peter Stone
2007 A* conf
Learning and Multiagent Reasoning for Autonomous Agents.
IJCAI
Peter Stone
2007 A* conf
Machine Learning for On-Line Hardware Reconfiguration.
IJCAI
Jonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin
2007 — conf
Model-Based Exploration in Continuous State Spaces.
SARA
Nicholas K. Jong, Peter Stone
2007 C conf
Model-Based Reinforcement Learning in a Complex Domain.
RoboCup
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
2007 A conf
Model-based function approximation in reinforcement learning.
AAMAS
Nicholas K. Jong, Peter Stone
2007 J jnl
Multiagent learning is not the answer. It is the question.
Artif. Intell.
Peter Stone
2007 — conf
Representation Transfer for Reinforcement Learning.
AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development
Matthew E. Taylor, Peter Stone
2007 A* conf
Representation Transfer via Elaboration.
AAAI
Matthew E. Taylor, Peter Stone
2007 A* conf
Sharing the Road: Autonomous Vehicles Meet Human Drivers.
IJCAI
Kurt M. Dresner, Peter Stone
2007 J jnl
Structure-based color learning on a mobile robot under changing illumination.
Auton. Robots
Mohan Sridharan, Peter Stone
2007 A* conf
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.
AAAI
Matthew E. Taylor, Shimon Whiteson, Peter Stone
2007 A conf
Towards reinforcement learning representation transfer.
AAMAS
Matthew E. Taylor, Peter Stone
2007 J jnl
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
J. Mach. Learn. Res.
Matthew E. Taylor, Peter Stone, Yaxin Liu
2007 A conf
Transfer via inter-task mappings in policy search reinforcement learning.
AAMAS
Matthew E. Taylor, Shimon Whiteson, Peter Stone
2006 A ed.
5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006
AAMAS
Hideyuki Nakashima, Michael P. Wellman, Gerhard Weiss, Peter Stone
2006 — conf
A Distributed Biconnectivity Check.
DARS
Mazda Ahmadi, Peter Stone
2006 A* conf
A Multi-robot System for Continuous Area Sweeping Tasks.
ICRA
Mazda Ahmadi, Peter Stone
2006 C conf
Adaptive mechanism design: a metalearning approach.
ICEC
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Kerem Tomak
2006 A* conf
Automatic Heuristic Construction for General Game Playing.
AAAI
Gregory Kuhlmann, Peter Stone
2006 A* conf
Automatic Heuristic Construction in a Complete General Game Player.
AAAI
Gregory Kuhlmann, Peter Stone
2006 C conf
Autonomous Learning of Stable Quadruped Locomotion.
RoboCup
Manish Saggar, Thomas D'Silva, Nate Kohl, Peter Stone
2006 C conf
Autonomous Planned Color Learning on a Legged Robot.
RoboCup
Mohan Sridharan, Peter Stone
2006 C conf
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data.
ICARCV
Mohan Sridharan, Peter Stone
2006 A* conf
Biconnected Structure for Multi-Robot Systems.
AAAI
Mazda Ahmadi, Peter Stone
2006 J jnl
Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Auton. Agents Multi Agent Syst.
Charles Lee Isbell Jr., Michael J. Kearns, Satinder Singh, Christian R. Shelton, Peter Stone, David P. Kormann
2006 A conf
Comparing evolutionary and temporal difference methods in a reinforcement learning domain.
GECCO
Matthew E. Taylor, Shimon Whiteson, Peter Stone
2006 A conf
Designing safe, profitable automated stock trading agents using evolutionary algorithms.
GECCO
Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers
2006 J jnl
Evolutionary Function Approximation for Reinforcement Learning.
J. Mach. Learn. Res.
Shimon Whiteson, Peter Stone
2006 A* conf
Expectation-Based Vision for Self-Localization on a Legged Robot.
AAAI
Daniel Stronger, Peter Stone
2006 J jnl
From pixels to multi-robot decision-making: A study in uncertainty.
Robotics Auton. Syst.
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, Nicholas K. Jong
2006 C conf
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.
RoboCup
Shivaram Kalyanakrishnan, Yaxin Liu, Peter Stone
2006 A* conf
Inter-Task Action Correlation for Reinforcement Learning Tasks.
AAAI
Matthew E. Taylor, Peter Stone
2006 A* conf
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots.
AAAI
Mazda Ahmadi, Peter Stone
2006 A* conf
Know Thine Enemy: A Champion RoboCup Coach Agent.
AAAI
Gregory Kuhlmann, William B. Knox, Peter Stone
2006 A* conf
Making Autonomous Intersection Management Backwards-Compatible.
AAAI
Kurt M. Dresner, Peter Stone
2006 A conf
On-line evolutionary computation for reinforcement learning in stochastic domains.
GECCO
Shimon Whiteson, Peter Stone
2006 B conf
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents.
ICTAI
Daniel Stronger, Peter Stone
2006 A* conf
Predictive Planning for Supply Chain Management.
ICAPS
David Pardoe, Peter Stone
2006 A* conf
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning.
AAAI
Shimon Whiteson, Peter Stone
2006 C conf
Selective Visual Attention for Object Detection on a Legged Robot.
RoboCup
Daniel Stronger, Peter Stone
2006 A* conf
TacTex-05: A Champion Supply Chain Management Agent.
AAAI
David Pardoe, Peter Stone
2006 — conf
TacTex-05: An Adaptive Agent for TAC SCM.
TADA/AMEC
David Pardoe, Peter Stone, Mark Van Middlesworth
2006 C conf
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot.
RoboCup
Peggy Fidelman, Peter Stone
2006 J jnl
Towards autonomous sensor and actuator model induction on a mobile robot.
Connect. Sci.
Daniel Stronger, Peter Stone
2006 A* conf
Traffic Intersections of the Future.
AAAI
Kurt M. Dresner, Peter Stone
2006 A* conf
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping.
AAAI
Yaxin Liu, Peter Stone
2005 J jnl
A polynomial-time Nash equilibrium algorithm for repeated games.
Decis. Support Syst.
Michael L. Littman, Peter Stone
2005 A conf
Automatic feature selection in neuroevolution.
GECCO
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl
2005 A* conf
Autonomous Color Learning on a Mobile Robot.
AAAI
Mohan Sridharan, Peter Stone
2005 A conf
Behavior transfer for value-function-based reinforcement learning.
AAMAS
Matthew E. Taylor, Peter Stone
2005 J jnl
Developing adaptive auction mechanisms.
SIGecom Exch.
David Pardoe, Peter Stone
2005 J jnl
Evolving Soccer Keepaway Players Through Task Decomposition.
Mach. Learn.
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone
2005 — conf
Function Approximation via Tile Coding: Automating Parameter Choice.
SARA
Alexander A. Sherstov, Peter Stone
2005 A* conf
Improving Action Selection in MDP's via Knowledge Transfer.
AAAI
Alexander A. Sherstov, Peter Stone
2005 C conf
Keepaway Soccer: From Machine Learning Testbed to Benchmark.
RoboCup
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, Yaxin Liu
2005 — conf
Multi-robot Learning for Continuous Area Sweeping.
LAMAS
Mazda Ahmadi, Peter Stone
2005 — conf
Multiagent Traffic Management: Opportunities for Multiagent Learning.
LAMAS
Kurt M. Dresner, Peter Stone
2005 A conf
Multiagent traffic management: an improved intersection control mechanism.
AAMAS
Kurt M. Dresner, Peter Stone
2005 A* conf
Practical Vision-Based Monte Carlo Localization on a Legged Robot.
ICRA
Mohan Sridharan, Gregory Kuhlmann, Peter Stone
2005 A conf
Real-time vision on a mobile robot platform.
IROS
Mohan Sridharan, Peter Stone
2005 J jnl
Reinforcement Learning for RoboCup Soccer Keepaway.
Adapt. Behav.
Peter Stone, Richard S. Sutton, Gregory Kuhlmann
2005 A* conf
Simultaneous Calibration of Action and Sensor Models on a Mobile Robot.
ICRA
Daniel Stronger, Peter Stone
2005 A* conf
State Abstraction Discovery from Irrelevant State Variables.
IJCAI
Nicholas K. Jong, Peter Stone
2005 J jnl
The First International Trading Agent Competition: Autonomous Bidding Agents.
Electron. Commer. Res.
Peter Stone, Amy Greenwald
2005 C conf
Towards Eliminating Manual Color Calibration at RoboCup.
RoboCup
Mohan Sridharan, Peter Stone
2005 — conf
Towards Self-Configuring Hardware for Distributed Computer Systems.
ICAC
Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, Michael Dahlin
2005 A* conf
Value Functions for RL-Based Behavior Transfer: A Comparative Study.
AAAI
Matthew E. Taylor, Peter Stone, Yaxin Liu
2004 C conf
A Model-Based Approach to Robot Joint Control.
RoboCup
Daniel Stronger, Peter Stone
2004 J jnl
Adaptive job routing and scheduling.
Eng. Appl. Artif. Intell.
Shimon Whiteson, Peter Stone
2004 A conf
Agent-Based Supply Chain Management: Bidding for Customer Orders.
AAMAS
David Pardoe, Peter Stone
2004 — conf
Bidding for Customer Orders in TAC SCM.
AMEC
David Pardoe, Peter Stone
2004 A* conf
Machine Learning for Fast Quadrupedal Locomotion.
AAAI
Nate Kohl, Peter Stone
2004 A conf
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism.
AAMAS
Kurt M. Dresner, Peter Stone
2004 A* conf
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion.
ICRA
Nate Kohl, Peter Stone
2004 J jnl
TacTex-03: a supply chain management agent.
SIGecom Exch.
David Pardoe, Peter Stone
2004 C conf
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach.
RoboCup
Gregory Kuhlmann, Peter Stone, Justin Lallinger
2004 — conf
Three Automated Stock-Trading Agents: A Comparative Study.
AMEC
Alexander A. Sherstov, Peter Stone
2004 A* conf
Towards Autonomic Computing: Adaptive Job Routing and Scheduling.
AAAI
Shimon Whiteson, Peter Stone
2004 — conf
Towards Autonomic Computing: Adaptive Network Routing and Scheduling.
ICAC
Shimon Whiteson, Peter Stone
2004 C conf
Towards Illumination Invariance in the Legged League.
RoboCup
Mohan Sridharan, Peter Stone
2004 — conf
Towards On-Board Color Constancy on Mobile Robots.
CRV
Mohan Sridharan, Peter Stone
2004 J jnl
Using RoboCup in university-level computer science education.
ACM J. Educ. Resour. Comput.
Elizabeth Sklar, Simon Parsons, Peter Stone
2003 A* conf
A polynomial-time nash equilibrium algorithm for repeated games.
EC
Michael L. Littman, Peter Stone
2003 A conf
Concurrent layered learning.
AAMAS
Shimon Whiteson, Peter Stone
2003 J jnl
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions.
J. Artif. Intell. Res.
Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, David A. McAllester
2003 A conf
Evolving Keepaway Soccer Players through Task Decomposition.
GECCO
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone
2003 J jnl
Guest Editors' Introduction: Agents and Markets.
IEEE Intell. Syst.
Amy Greenwald, Nicholas R. Jennings, Peter Stone
2003 A* conf
Learning Predictive State Representations.
ICML
Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone
2003 C conf
Performance analysis of a counter-intuitive automated stock-trading agent.
ICEC
Ronggang Yu, Peter Stone
2003 C conf
Progress in Learning 3 vs. 2 Keepaway
RoboCup
Gregory Kuhlmann, Peter Stone
2003 B conf
Progress in learning 3 vs. 2 keepaway.
SMC
Gregory Kuhlmann, Peter Stone
2003 C conf
RoboCup as an Introduction to CS Research.
RoboCup
Peter Stone
2003 C conf
RoboCup in Higher Education: A Preliminary Report.
RoboCup
Elizabeth Sklar, Simon Parsons, Peter Stone
2003 J jnl
The 2001 Trading Agent Competition.
Electron. Mark.
Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2003 J jnl
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research.
Auton. Agents Multi Agent Syst.
Itsuki Noda, Peter Stone
2003 — conf
Two Stock-Trading Agents: Market Making and Technical Analysis.
AMEC
Y. Feng, Rong Yu, Peter Stone
2002 — conf
ATTac-2001: A Learning, Autonomous Bidding Agent.
AMEC
Peter Stone, Robert E. Schapire, János A. Csirik, Michael L. Littman, David A. McAllester
2002 A* conf
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation.
ICML
Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik
2002 C conf
Multiagent Competitions and Research: Lessons from RoboCup and TAC.
RoboCup
Peter Stone
2002 A conf
Randomized strategic demand reduction: getting more by asking for less.
AAMAS
Paul S. A. Reitsma, Peter Stone, János A. Csirik, Michael L. Littman
2002 J jnl
RoboCup-2001: The Fifth Robotic Soccer World Championships.
AI Mag.
Manuela M. Veloso, Tucker R. Balch, Peter Stone, Hiroaki Kitano, Fuminori Yamasaki, Ken Endo, Minoru Asada, Mansour Jamzad, Sayyed Bashir Sadjad, Vahab S. Mirrokni, Moslem Kazemi, Hamid Reza Chitsaz, Abbas Heydarnoori, Mohammad Taghi Hajiaghayi, Ehsan Chiniforooshan
2002 — conf
Self-Enforcing Strategic Demand Reduction.
AMEC
Paul S. A. Reitsma, Peter Stone, János A. Csirik, Michael L. Littman
2002 — conf
The 2001 Trading Agent Competition.
AAAI/IAAI
Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2002 J jnl
The 2002 AAAI Spring Symposium Series.
AI Mag.
Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay K. Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay
2001 — conf
A social reinforcement learning agent.
Agents
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone
2001 C conf
ATTUnited-2001: Using Heterogeneous Players.
RoboCup
Peter Stone
2001 J jnl
ATTac-2000: An Adaptive Autonomous Bidding Agent.
J. Artif. Intell. Res.
Peter Stone, Michael L. Littman, Satinder Singh, Michael J. Kearns
2001 — conf
ATTac-2000: an adaptive autonomous bidding agent.
Agents
Peter Stone, Michael L. Littman, Satinder Singh, Michael J. Kearns
2001 — conf
An architecture for action selection in robotic soccer.
Agents
Peter Stone, David A. McAllester
2001 J jnl
Autonomous Bidding Agents in the Trading Agent Competition.
IEEE Internet Comput.
Amy Greenwald, Peter Stone
2001 — conf
Cobot: A Social Reinforcement Learning Agent.
NIPS
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder Singh, Peter Stone
2001 — conf
FAucS : An FCC Spectrum Auction Simulator for Autonomous Bidding Agents.
WELCOM
János A. Csirik, Michael L. Littman, Satinder Singh, Peter Stone
2001 — conf
Implicit Negotiation in Repeated Games.
ATAL
Michael L. Littman, Peter Stone
2001 C conf
Keepaway Soccer: A Machine Learning Testbed.
RoboCup
Peter Stone, Richard S. Sutton
2001 C ed.
RoboCup 2000: Robot Soccer World Cup IV
RoboCup
Peter Stone, Tucker R. Balch, Gerhard K. Kraetzschmar
2001 J jnl
RoboCup-2000: The Fourth Robotic Soccer World Championships.
AI Mag.
Peter Stone
2001 A* conf
Scaling Reinforcement Learning toward RoboCup Soccer.
ICML
Peter Stone, Richard S. Sutton
2000 C conf
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League.
RoboCup
Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso
2000 J jnl
CMUNITED-98 Simulator Team.
AI Mag.
Peter Stone, Manuela M. Veloso, Patrick Riley
2000 J jnl
CMUNITED-98: RoboCup-98 Small-Robot World Champion Team.
AI Mag.
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
2000 — conf
Cobot in LambdaMOO: A Social Statistics Agent.
AAAI/IAAI
Charles Lee Isbell Jr., Michael J. Kearns, David P. Kormann, Satinder Singh, Peter Stone
2000 — conf
Defining and Using Ideal Teammate and Opponent Agent Models.
AAAI/IAAI
Peter Stone, Patrick Riley, Manuela M. Veloso
2000 — conf
Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer.
ICMAS
Peter Stone, Patrick Riley, Manuela M. Veloso
2000 C conf
Keeping the Ball from CMUnited-99.
RoboCup
David A. McAllester, Peter Stone
2000 — conf
Layered Disclosure: Revealing Agents' Internals.
ATAL
Patrick Riley, Peter Stone, Manuela M. Veloso
2000 — conf
Layered Learning.
ECML
Peter Stone, Manuela M. Veloso
2000 — conf
Layered disclosure: why is the agent doing what it's doing?
Agents
Peter Stone, Patrick Riley, Manuela M. Veloso
2000 — book
Layered learning in multiagent systems - a winning approach to robotic soccer.
Peter Stone
2000 J jnl
Multiagent Systems: A Survey from a Machine Learning Perspective.
Auton. Robots
Peter Stone, Manuela M. Veloso
2000 C conf
Overview of RoboCup-2000.
RoboCup
Peter Stone, Minoru Asada, Tucker R. Balch, Masahiro Fujita, Gerhard K. Kraetzschmar, Henrik Hautop Lund, Paul Scerri, Satoshi Tadokoro, Gordon F. Wyeth
2000 J jnl
Overview of RoboCup-99.
AI Mag.
Silvia Coradeschi, Lars Karlsson, Peter Stone, Tucker R. Balch, Gerhard K. Kraetzschmar, Minoru Asada
2000 — conf
Progress in RoboCup Soccer Research in 2000.
ISER
Minoru Asada, Andreas Birk, Enrico Pagello, Masahiro Fujita, Itsuki Noda, Satoshi Tadokoro, Dominique Duhaut, Peter Stone, Manuela M. Veloso, Tucker R. Balch, Hiroaki Kitano, Brian Thomas
2000 C conf
Reinforcement Learning for 3 vs. 2 Keepaway
RoboCup
Peter Stone, Richard S. Sutton, Satinder Singh
2000 A* conf
TPOT-RL Applied to Network Routing.
ICML
Peter Stone
2000 J jnl
The CMUnited-99 Champion Simulator Team.
AI Mag.
Peter Stone, Patrick Riley, Manuela M. Veloso
2000 — conf
The RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research.
Agents Workshop on Infrastructure for Multi-Agent Systems
Itsuki Noda, Peter Stone
1999 — conf
CMUnited-98: A Team of Robotic Soccer Agents.
AAAI/IAAI
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
1999 C conf
Layered Learning and Flexible Teamwork in RoboCup Simulation Agents.
RoboCup
Peter Stone, Manuela M. Veloso
1999 C conf
Overview of RoboCup-99.
RoboCup
Manuela M. Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard K. Kraetzschmar, Peter Stone, Tucker R. Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, Masahiro Fujita
1999 J jnl
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork.
Artif. Intell.
Peter Stone, Manuela M. Veloso
1999 — conf
Team-Partitioned, Opaque-Transition Reinforcement Learning.
Agents
Peter Stone, Manuela M. Veloso
1999 J jnl
The CMUnited-97 robotic soccer team: Perception and multi-agent control.
Robotics Auton. Syst.
Manuela M. Veloso, Peter Stone, Kwun Han
1999 C conf
The CMUnited-99 Champion Simulator Team.
RoboCup
Peter Stone, Patrick Riley, Manuela M. Veloso
1998 J jnl
CMUNITED-97: RoboCup-97 Small-Robot World Champion Team.
AI Mag.
Manuela M. Veloso, Peter Stone, Kwun Han
1998 J jnl
CMUnited: a team of robotics soccer agents collaborating in an adversarial environment.
XRDS
Manuela Veloso, Peter Stone, Kwun Han, Sorin Achim
1998 — conf
Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication.
CRW
Peter Stone, Manuela M. Veloso
1998 — conf
Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents.
ICMAS
Manuela M. Veloso, Peter Stone
1998 J jnl
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server.
Appl. Artif. Intell.
Peter Stone, Manuela M. Veloso
1998 — conf
Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork.
ATAL
Peter Stone, Manuela M. Veloso
1998 C conf
Team-Partitioned, Opaque-Transition Reinforced Learning.
RoboCup
Peter Stone, Manuela M. Veloso
1998 — conf
The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control.
Agents
Manuela M. Veloso, Peter Stone, Kwun Han
1998 C conf
The CMUnited-98 Champion Simulator Team.
RoboCup
Peter Stone, Manuela M. Veloso, Patrick Riley
1998 C conf
The CMUnited-98 Small-Robot Team.
RoboCup
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
1998 J jnl
The CMUnited-98 champion small-robot team.
Adv. Robotics
Manuela M. Veloso, Michael H. Bowling, Peter Stone
1998 J jnl
The Robocup Physical Agent Challenge: Phase I.
Appl. Artif. Intell.
Minoru Asada, Peter Stone, Hiroaki Kitano, Barry Brian Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
1998 J jnl
Towards collaborative and adversarial learning: a case study in robotic soccer.
Int. J. Hum. Comput. Stud.
Peter Stone, Manuela M. Veloso
1998 — conf
Using Decision Tree Confidence Factors for Multi-Agent Control.
Agents
Peter Stone, Manuela M. Veloso
1997 — conf
A Layered Approach for an Autonomous Robotic Soccer System.
Agents
Manuela M. Veloso, Peter Stone, Sorin Achim
1997 — conf
Layered Learning in Multiagent Systems.
AAAI/IAAI
Peter Stone
1997 C conf
The CMUnited-97 Simulator Team.
RoboCup
Peter Stone, Manuela M. Veloso
1997 C conf
The CMUnited-97 Small Robot Team.
RoboCup
Manuela M. Veloso, Peter Stone, Kwun Han, Sorin Achim
1997 C conf
The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1.
RoboCup
Minoru Asada, Peter Stone, Hiroaki Kitano, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
1997 — conf
The RoboCup Synthetic Agent Challenge 97.
IJCAI (1)
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
1997 C conf
The RoboCup Synthetic Agent Challenge 97.
RoboCup
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
1997 C conf
Using Decision Tree Confidence Factors for Multiagent Control.
RoboCup
Peter Stone, Manuela M. Veloso
1995 — conf
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function.
NIPS
Peter Stone, Manuela M. Veloso
1995 J jnl
FLECS: Planning with a Flexible Commitment Strategy
CoRR
Manuela M. Veloso, Peter Stone
1995 J jnl
FLECS: Planning with a Flexible Commitment Strategy.
J. Artif. Intell. Res.
Manuela M. Veloso, Peter Stone
1994 — conf
The Need for Different Domain-independent Heuristics.
AIPS
Peter Stone, Manuela M. Veloso, Jim Blythe