neural networks research group
areas • people • projects • demos • publications • software/data •
Peter Stone
My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. I consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses mainly on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
Homepage:
http://www.cs.utexas.edu/~pstone
Also show archived content
Projects
TEXPLORE: Real-Time Sample Efficient Reinforcement Learning Since 2009
Teaching an Agent Manually via Evaluative Reinforcement (TAMER) Since 2008
Autonomous Intersection Management (AIM) Since 2004
Autonomic computing Since 2003
TacTex, an autonomous bidding agent for the Trading Agent Competition Since 2003
The UT Austin Villa Robot Soccer team Since 2003
Demos
A Neuroevolution Approach to General Atari Game PlayingMatthew Hausknecht2013
TEXPLORE: Real-Time Sample Efficient Reinforcement LearningTodd Hester2012
Teaching an Agent Manually via Evaluative Reinforcement (TAMER)W. Bradley Knox and Peter Stone2009
SPL Robocup Soccer2008
Simulated RoboCup Soccer2004
Autonomous Intersection Management (AIM)
Publications
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Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning Bo Liu and Yihao Feng and Qiang Liu and Peter Stone In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, US, Febr... 2023
Reward (Mis)design for autonomous driving W. Bradley Knox and Alessandro Allievi and Holger Banzhaf and Felix Schmitt and Peter Stone Artificial Intelligence, 316, January 2023. 2023
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications Serena Booth and W Bradley Knox and Julie Shah and Scott Niekum and Peter Stone and Alessandro Allie... In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C... 2023
DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching Caroline Wang and Ishan Durugkar and Elad Liebman and Peter Stone In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, ... 2023
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways Jinsoo Park and Xuesu Xiao and Garrett Warnell and Harel Yedidsion and Peter Stone In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023) 2023
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation Zifan Xu and Bo Liu and Xuesu Xiao and Anirudh Nair and Peter Stone In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023) 2023
A Novel Control Law for Multi-joint Human-Robot Interaction Tasks While Maintaining Postural Coordination Keya Ghonasgi and Reuth Mirsky and Adrian M Haith and Peter Stone and Ashish D Deshpande In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, ... 2023
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection Jiaxun Cui and Xiaomeng Yang and Mulong Luo and Geunbae Lee and Peter Stone and Hsien-Hsin S. Lee an... In The Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda, ... 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation Jiaheng Hu and Peter Stone and Roberto Martin-Martin In Robotics: Science and Systems (RSS2023), Daegu, Republic of Korea, July 2023. 2023
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning Caroline Wang and Garrett Warnell and Peter Stone In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (... 2023
Kinematic coordinations capture learning during human–exoskeleton interaction Keya Ghonasgi and Reuth Mirsky and Nisha Bhargava and Adrian M Haith and Peter Stone and Ashish D De... Scientific Reports, 13:10322, June 2023. 2023
Model-Based Meta Automatic Curriculum Learning Zifan Xu and Yulin Zhang and Shahaf S. Shperberg and Reuth Mirsky and Yuqian Jiang and Bo Liu and Pe... In The Second Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Canada, August ... 2023
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning Xiaohan Zhang and Yifeng Zhu and Yan Ding and Yuqian Jiang and Yuke Zhu and Peter Stone and Shiqi Zh... In International Conference on Intelligent Robots and Systems, Detroit, USA, October 2023. 2023
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search Yoonchang Sung and Peter Stone In Robotics: Science and Systems (RSS2023), Daegu, Republic of Korea, July 2023. 2023
VaryNote: A Method to Automatically Vary the Number of Notes in Symbolic Music Juan M. Huerta and Bo Liu and Peter Stone In Bridge after the turmoil - The 16th International Symposium, CMMR 2023, Tokyo, Japan, November... 2023
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu and Peter Stone and Yuke Zhu IEEE Robotics and Automation Letters, January 2022. 2022
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey Xuesu Xiao and Bo Liu and Garrett Warnell and Peter Stone Autonomous Robots, February 2022. 2022
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation Haresh Karnan and Garrett Warnell and Xuesu Xiao and Peter Stone In International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, May... 2022
Adversarial Imitation Learning from Video using a State Observer Haresh Karnan and Garrett Warnell and Faraz Torabi and Peter Stone In International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, May... 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:22... 2022
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles Jiaxun Cui and Hang Qiu and Dian Chen and Peter Stone and Yuke Zhu In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Ju... 2022
APPL: Adaptive Planner Parameter Learning Xuesu Xiao and Zizhao Wang and Zifan Xu and Bo Liu and abd Gauraang Dhamankar and Anirudh Nair and G... Robotics and Autonomous Systems, May 2022. 2022
Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang and Xuesu Xiao and Zifan Xu and Yuke Zhu and Peter Stone In roceedings of the 39th International Conference on Machine Learning (ICML2022), Baltimore,... 2022
Task Factorization in Curriculum Learning Reuth Mirsky and Shahaf S. Shperberg and Yulin Zhang and Zifan Xu and Yuqian Jiang and Jiaxun Cui an... In Decision Awareness in Reinforcement Learning (DARL) workshop t the 39th International Conferen... 2022
Model-Based Meta Automatic Curriculum Learning Zifan Xu and Yulin Zhang and Shahaf S. Shperberg and Reuth Mirsky and Yulin Zhan and Yuqian Jiang an... In Decision Awareness in Reinforcement Learning (DARL) workshop t the +39th International Confere... 2022
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset Of Demonstrations For Social Navigation Haresh Karnan and Anirudh Nair and Xuesu Xiao and Garrett Warnell and Soren Pirk and Alexander Toshe... Robotics and Automation Letters (RA-L), 2022, Japan, May 2022. 2022
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction Yulin Zhang and William Macke and Jiaxun Cui and Daniel Urieli and Peter Stone In Proceedings of the Adaptive and Learning Agents Workshop (ALA), Auckland, NZ, May 2022. 2022
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics Haresh Karnan and Kavan Sikand and Pranav Atreya and Sadegh Rabiee and Xuesu Xiao and Garrett Warnel... In International Conference on Intelligent Robots and Systems, 2022, Kyoto, Japan, October 20... 2022
Quantifying Human Rationality in Ad-hoc Teamwork Yair Hanina and Reuth Mirsky and William Macke and Peter Stone In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), Online, May 2022. 2022
Quantifying Human Rationality in Ad-hoc Teamwork Yair Hanina and Reuth Mirsky and William Macke and Peter Stone In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), Online, May 2022. 2022
Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System Keya Ghonasgi and Reuth Mirsky and Adrian M Haith and Peter Stone and Ashish D Deshpande In Proceedings of the 35th International Conference on Intelligent Robots and Systems (IROS),... 2022
Continual Learning and Private Unlearning Bo Liu and Qiang Liu and Peter Stone In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLAs), Montreal, Canada, ... 2022
A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects Shahaf Shperberg and Bo Liu and Allessandro Allievi and Peter Stone In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLAs), Montreal, Canada, ... 2022
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye and Bo Liu and Nagy Zoltan and Peter Stone Journal of Energy and AI, 2022, September 2022. 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar and Bo Liu and Risto Miikkulainen and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States,... 2022
Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer Sai Kiran Narayanaswami and Mauricio Tec and Ishan Durugkar and Siddharth Desai and Bharath Masetty ... In Proceedings of the RoboCup Symposium, 2022, Bangkok, Thailand, July 2022. 2022
A Survey of Ad Hoc Teamwork Research Reuth Mirsky and Ignacio Carlucho and Arrasy Rahman and Eliott Fosong and William Macke and Mohan Sr... In The 19th European Conference on Multi-Agent Systems (EUMAS), Dusseldorf, Germany, Septembe... 2022
DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments Anirudh Nair and Fulin Jiang and Kang Hou and Zifan Xu and Shuozhe Li and Xuesu Xiao and Peter Stone In Proceedings of the 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics ... 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Bo Liu and Mao Ye and Stephen Wright and Peter Stone and Qiang Liu In Conference on Neural Information Processing Systems, 2022, New Orleans, LA, December 2022. 2022
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors Yifeng Zhu and Abhishek Joshi and Peter Stone and Yuke Zhu In Proceedings of the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand, Ja... 2022
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning Yoonchang Sung and Zizhao Wang and Peter Stone In Proceedings of the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand, De... 2022
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 Xuesu Xiao and Zifan Xu and Zizhao Wang and Yunlong Song and Garrett Warnell and Peter Stone and Tin... IEEE Robotics and Automation Magazine, January 2022. 2022
Expected Value of Communication for Planning in Ad Hoc Teamwork William Macke and Reuth Mirsky and Peter Stone In Proceedings of the 35th Conference on Artificial Intelligence (AAAI), February 2021. 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks Yuqian Jiang and Suda Bharadwaj and Bo Wu and Rishi Shah and Ufuk Topcu and Peter Stone In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual Co... 2021
Multiagent Epidemiologic Inference through Realtime Contact Tracing Guni Sharon and James Ault and Peter Stone and Varun Kompella and Roberto Capobianco In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (... 2021
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination Xuesu Xiao and Bo Liu and Garrett Warnell and Peter Stone IEEE Robotics and Automation Letters, January 2021. 2021
Agile Robot Navigation through Hallucinated Learning and Sober Deployment Xuesu Xiao and Bo Liu and Peter Stone In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021) 2021
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle Yu-Sian Jiang and Garrett Warnell and Peter Stone In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), A Virtual Confe... 2021
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care Reuth Mirsky and Peter Stone In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (... 2021
A Scavenger Hunt for Service Robots Harel Yedidsion and Jennifer Suriadinata and Zifan Xu and Stefan Debruyn and Peter Stone In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), X... 2021
Scalable Multiagent Driving Policies For Reducing Traffic Congestion Jiaxun Cui and William Macke and Harel Yedidsion and Aastha Goyal and Daniel Urieli and Peter Stone %RefShort% 2021
A Lifelong Learning Approach to Mobile Robot Navigation Bo Liu and Xuesu Xiao and Peter Stone In IEEE International Conference on Robotics and Automation (ICRA), 2021, Xi'an, China, June ... 2021
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning Eddy Hudson and Garrett Warnell and Peter Stone In Autonomous Robots and Multirobot Systems Workshop at the 20th International Conference on Auto... 2021
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du and Garrett Warnell and Assefaw Gebremedhin and Peter Stone and Matthew E. Taylor Neural Computing and Applications, May 2021. 2021
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain Xuesu Xiao and Joydeep Biswas and Peter Stone In Opportunities and Challenges with Autonomous Racing Workshop at the 2021 IEEE International Co... 2021
APPLR: Adaptive Planner Parameter Learning from Reinforcement Zifan Xu and Gauraang Dhamankar and Anirudh Nair and Xuesu Xiao and Garrett Warnell and Bo Liu and Z... In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021) 2021
Reasoning about Human Behavior in Ad Hoc Teamwork Jennifer Suriadinata and William Macke and Reuth Mirsky and Peter Stone In Adaptive and learning Agents Workshop at AAMAS 2021, May 2021. 2021
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain Xuesu Xiao and Joydeep Biswas and Peter Stone IEEE Robotics and Automation Letters, July 2021. 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu and Qiang Liu and Peter Stone and Animesh Garg and Yuke Zhu and Animashree Anandkumar In Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 (ICML) 2021
Team Orienteering Coverage Planning with Uncertain Reward Bo Liu and Xuesu Xiao and Peter Stone %RefShort% 2021
Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy Josiah P. Hanna and Scott Niekum and Peter Stone Machine Learning (MLJ), 110(6):1267–1317, May 2021. 2021
Incorpotating Gaze into Social Navigation Justin Hart and Reuth Mirsky and Xuesu Xiao and Peter Stone In Robotics: Science and Systems Workshop on Social Robot Navigation (RSS), Virtual, July 202... 2021
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination Zizhao Wang and Xuesu Xiao and Alexander J Nettekoven and Kadhiravan Umasankar and Anika Singh and S... In Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021),... 2021
Capturing Skill State in Curriculum Learning for Human Skill Acquisition Keya Ghonasgi and Reuth Mirsky and Sanmit Narvekar and Bharath Masetty and Adrian M. Haith and Peter... In International Conference on Intelligent Robots and Systems (IROS), Virtual, September 2021... 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation Faraz Torabi and Garrett Warnell and Peter Stone In Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)<... 2021
Grounded Action Transformation for Sim-to-Real Reinforcement Learning Josiah P.Hanna and Siddharth Desai and Haresh Karnan and Garrett Warnell and Peter Stone Special Issue on Reinforcement Learning for Real Life, Machine Learning, 2021, May 2021. 2021
Is the Cerebellum a Model-Based Reinforcement Learning Agent? Bharath Masetty and Reuth Mirsky and Ashish D. Deshpande and Michael Mauk and Peter Stone In Adaptive and Learning Agents Workshop at AAMAS, Virtual, May 2021. 2021
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning Zifan Xu and Xuesu Xiao and Garrett Warnell and Anirudh Nair and Peter Stone In Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics ... 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang and Faraz Torabi and Garrett Warnell and Peter Stone Autonomous Agents and Multi-Agent Systems, June 2021. 2021
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation Blake Holman and Abrar Anwar and Akash Singh and Mauricio Tec and Justin Hart and Peter Stone In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), Xi'an,... 2021
Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar and Mauricio Tec and Scott Niekum and Peter Stone In Proceedings of the 35th International Conference on Neural Information Processing Systems (Neu... 2021
Conflict-Averse Gradient Descent for Multi-task learning Bo Liu and Xingchao Liu and Xiaojie Jin and Peter Stone and Qiang Liu In Conference on Neural Information Processing Systems, 2021, Virtual, December 2021. 2021
Intelligent Disobedience and AI Rebel Agents in Assistive Robotics Reuth Mirsky and Peter Stone In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IRO... 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo and Ruohan Zhang and Bo Liu and Yifeng Zhu and Mary Hayhoe and Dana Ballard and Peter Sto... In Conference on Neural Information Processing Systems, 2021, Virtual, December 2021. 2021
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Jus... The Journal of Artificial Intelligence Research (JAIR), 67:327-374, February 2020. 2020
Agents teaching agents: a survey on inter-agent transfer learning Felipe Leno Da Silva and Garrett Warnell and Anna Helena Reali Costa and Peter Stone Autonomous Agents and Multi-Agent Systems, January 2020. 2020
APPLD: Adaptive Planner Parameter Learning from Demonstration Xuesu Xiao and Bo Liu and Garrett Warnell and Jonathan Fink and Peter Stone %RefShort% 2020
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning Ishan Durugkar and Elad Liebman and Peter Stone In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)... 2020
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork Reuth Mirsky and William Macke and Andy Wang and Harel Yedidsion and Peter Stone In Proceedings of the 29th International Joint Conference on Artificial Intelligence, Yokoham... 2020
Reducing Sampling Error in Batch Temporal Difference Learning Brahma Pavse and Ishan Durugkar and Josiah Hanna and Peter Stone In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austr... 2020
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma Pavse and Faraz Torabi and Josiah Hanna and Garrett Warnell and Peter Stone IEEE Robotics and Automation Letters, presented at International Conference on Intelligent Robots... 2020
Reinforced Grounded Action Transformation for Sim-to-Real Transfer Haresh Karnan and Siddharth Desai and Josiah P. Hanna and Garrett Warnell and Peter Stone In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), October 20... 2020
Stochastic Grounded Action Transformation for Robot Learning in Simulation Siddharth Desai and Haresh Karnan and Josiah P. Hanna and Garrett Warnell and Peter Stone In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020), Las Vegas,... 2020
Deep R-Learning for Continual Area Sweeping Rishi Shah and Yuqian Jiang and Justin Hart and Peter Stone In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2... 2020
Benchmarking Metric Ground Navigation Daniel Perille and Abigail Truong and Xuesu Xiao and Peter Stone In Proceedings of the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics ... 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks Lemeng Wu and Bo Liu and Peter Stone and Qiang Liu In Advances in Neural Information Processing Systems 34 (2020), Vancouver, Canada, December 2... 2020
Learning to Improve Multi-Robot Hallway Navigation Jin-Soo Park and Brian Tsang and Harel Yedidsion and Garrett Warnell and Daehyun Kyoung and Peter St... In Proceedings of the 4th Conference on Robot Learning (CoRL), Virtual Conference, November 2... 2020
The EMPATHIC Framework for Task Learning from Implicit Human Feedback Yuchen Cui and Qiping Zhang and Alessandro Allievi and Peter Stone and Scott Niekum and W. Bradley K... In Proceedings of the 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA, Novemb... 2020
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation Shih-Yun Lo and Shiqi Zhang and Peter Stone The Journal of Artificial Intelligence Research (JAIR), 67, October 2020. 2020
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch Siddarth Desai and Ishan Durugkar and Haresh Karnan and Garrett Warnell and Josiah Hanna and Peter S... In Proceedings of the 34th International Conference on Neural Information Processing Systems (Neu... 2020
On Sampling Error in Batch Action-Value Prediction Algorithms Brahma S. Pavse and Josiah P. Hanna and Ishan Durugkar and Peter Stone In In the Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurI... 2020
Using Human-Inspired Signals to Disambiguate Navigational Intentions Justin Hart and Reuth Mirsky and Xuesu Xiao and Stone Tejeda and Bonny Mahajan and Jamin Goo and Kat... In Proceedings of the 12th International Conference on Social Robotics (ICSR), Golden, Colora... 2020
Selecting Compliant Agents for Opt-in Micro-Tolling Josiah Hanna and Guni Sharon and Stephen Boyles and Peter Stone In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, J... 2019
Improving Grounded Natural Language Understanding through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Jus... In IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 201... 2019
UT Austin Villa: RoboCup 2018 3D Simulation League Champions Patrick MacAlpine, Faraz Torabi, Brahma Pavse, John Sigmon and Peter Stone In Dirk Holz and Katie Genter and Maarouf Saad and Oskar von Stryk, editors, RoboCup 2018: Robot ... 2019
Learning Curriculum Policies for Reinforcement Learning Sanmit Narvekar and Peter Stone In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (... 2019
Open-World Reasoning for Service Robots Yuqian Jiang, Nick Walker, Justin Hart, Peter Stone In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2... 2019
Sample-efficient Adversarial Imitation Learning from Observation Faraz Torabi and Garrett Warnell and Peter Stone %RefShort% 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse and Faraz Torabi and Josiah Hanna and Garrett Warnell and Peter Stone %RefShort% 2019
Reducing Sampling Error in Policy Gradient Learning Josiah Hanna and Peter Stone In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (... 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy Josiah Hanna and Scott Niekum and Peter Stone In Proceedings of the 36th International Conference on Machine Learning (ICML), Long Beach, C... 2019
Recent Advances in Imitation Learning from Observation Faraz Torabi and Garrett Warnell and Peter Stone In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI),... 2019
Generative Adversarial Imitation from Observation Faraz Torabi and Garrett Warnell and Peter Stone In Imitation, Intent, and Interaction (I3) Workshop at ICML 2019, Long Beach, California, USA... 2019
Imitation Learning from Video by Leveraging Proprioception Faraz Torabi and Garrett Warnell and Peter Stone In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI),... 2019
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games Felipe Leno Da Silva and Anna Helena Reali Costa and Peter Stone In Proceedings of the 8th Brazilian Conference on Intelligent Systems (BRACIS), Salvador, Bah... 2019
Ad hoc Teamwork with Behavior Switching Agents Manish Ravula and Shani Alkobi and Peter Stone In International Joint Conference on Artificial Intelligence (IJCAI), August 2019. 2019
Optimal Use Of Verbal Instructions For Multi-Robot Human Navigation Guidance Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin Hart, Peter Stone, and R... In Proceedings of the Eleventh International Conference on Social Robotics, 133-143, 2019. Sp... 2019
The right music at the right time: adaptive personalized playlists based on sequence modeling Elad Liebman and Maytal Saar-Tsechansky and Peter Stone Peter Stone Management Information Systems Quarterly, 43(3):765--786, January 2019. 2019
Overlapping Layered Learning Patrick MacAlpine and Peter Stone Artificial Intelligence, 254:21--43, January 2018. Elsevier. 2018
Deep TAMER: Interactive agent shaping in high-dimensional state spaces Garrett Warnell and Nicholas Waytowich and Vernon Lawhern and Peter Stone In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, ... 2018
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation Haipeng Chen and Bo An and Guni Sharon and Josiah Hanna and Peter Stone and Chunyan Miao and Yeng Ch... In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans,... 2018
Traffic Optimization For a Mixture of Self-interested and Compliant Agents Guni Sharon and Michael Albert and Tarun Rambha and Stephen Boyles and Peter Stone In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans,... 2018
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions Jesse Thomason, Jivko Sinapov, Raymond Mooney, Peter Stone In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) , Fe... 2018
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems Stefano Albrecht and Peter Stone Artificial Intelligence, 258:66--95, 2018. Elsevier. 2018
Towards a Data Efficient Off-Policy Policy Gradient Josiah Hanna and Peter Stone In AAAI Spring Symposium on Data Efficient Reinforcement Learning, Palo Alto, CA, March 2018. 2018
Variety Wins: Soccer-Playing Robots and Infant Walking Ori Ossmy and Justine E. Hoch and Patrick MacAlpine and Shohan Hasan and Peter Stone and Karen E. Ad... Frontiers in Neurorobotics, 12:19, 2018. 2018
Behavioral Cloning from Observation Faraz Torabi and Garrett Warnell and Peter Stone In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI),... 2018
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers Saeid Amiri and Suhua Wei and Shiqi Zhang and Jivko Sinapov and Jesse Thomason and Peter Stone In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18) 2018
PETLON - Planning Efficiently for Task-Level Optimal Navigation Shih-Yun Lo and Shiqi Zhang and Peter Stone In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (... 2018
Learning a Policy for Opportunistic Active Learning Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-... 2018
PRISM: Pose Registration for Integrated Semantic Mapping Justin W. Hart and Rishi Shah and Sean Kirmani and Nick Walker and Kathryn Baldauf and Nathan John a... In Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (I... 2018
Inferring User Intention using Gaze in Vehicles Yu-Sian Jiang, Garrett Warnell, and Peter Stone In The 20th ACM International Conference on Multimodal Interaction (ICMI), Boulder, Colorado,... 2018
A Study of Human-Robot Copilot Systems for En-Route Destination Changing Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, and Peter Stone In Proceedings of the 27th IEEE International Conference on Robot and Human Interactive Communica... 2018
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Jus... In RSS Workshop on Models and Representations for Natural Human-Robot Communication (MRHRC-18). ... 2018
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Jus... In Late-breaking Track at the SIGDIAL Special Session on Physically Situated Dialogue (RoboDIAL-1... 2018
Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability Rolando Fernandez and Nathan John and Sean Kirmani and Justin Hart and Jivko Sinapov and Peter Stone In Proceedings of the 27th {IEEE} International Symposium on Robot and Human Interactive Communic... 2018
{O}n the {I}mpact of {M}usic on {D}ecision {M}aking in {C}ooperative {T}asks Elad Liebman and Corey N. White and Peter Stone In 19th International Society for Music Information retrieval Conference (ISMIR), Paris, Fran... 2018
{A} {S}titch in {T}ime - {A}utonomous {M}odel {M}anagement via {R}einforcement {L}earning Elad Liebman and Eric Zavesky and Peter Stone In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (... 2018
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padma... In Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium, AAAI Fall Symposium ... 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning Prabhat Nagarajan and Garrett Warnell and Peter Stone In 2nd Reproducibility in Machine Learning Workshop at ICML 2018, Stockholm, Sweden, July 201... 2018
State Abstraction Synthesis for Discrete Models of Continuous Domains Jacob Menashe and Peter Stone In Data Efficient Reinforcement Learning Workshop at AAAI Spring Symposium, Stanford, CA, USA... 2018
Grounded Action Transformation for Robot Learning in Simulation Josiah Hanna and Peter Stone In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, ... 2017
Automatic Curriculum Graph Generation for Reinforcement Learning Agents Maxwell Svetlik and Matteo Leonetti and Jivko Sinapov and Rishi Shah and Nick Walker and Peter Stone In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, ... 2017
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning Shiqi Zhang and Piyush Khandelwal and Peter Stone In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, ... 2017
Designing Better Playlists with Monte Carlo Tree Search Elad Liebman and Piyush Khandelwal and Maytal Saar-Tsechansky and Peter Stone In PROCEEDINGS OF THE TWENTY-NINTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGEN... 2017
Reasoning about Hypothetical Agent Behaviours and their Parameters Stefano Albrecht and Peter Stone In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (... 2017
Multirobot Symbolic Planning under Temporal Uncertainty Shiqi Zhang and Yuqian Jiang and Guni Sharon and Peter Stone In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (A... 2017
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation Josiah Hanna and Peter Stone and Scott Niekum In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (... 2017
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks Guni Sharon and Josiah P. Hanna and Tarun Rambha and Michael W. Levin and Michael Albert and Stephen... In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (... 2017
Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests Piyush Khandelwal and Peter Stone In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), São Paulo, ... 2017
BWIBots: A platform for bridging the gap between AI and human--robot interaction research Piyush Khandelwal and Shiqi Zhang and Jivko Sinapov and Matteo Leonetti and Jesse Thomason and Fangk... The International Journal of Robotics Research, 2017. 2017
Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges Patrick MacAlpine and Peter Stone In AAMAS Multiagent Interaction without Prior Coordination (MIPC) Workshop, Sao Paulo, Brazil... 2017
Robot Behavioral Exploration and Multimodal Perception using POMDPs Shiqi Zhang and Jivko Sinapov and Suhua Wei and Peter Stone In Proceedings of 2017 AAAI Spring Symposium on Interactive Multi-Sensory Perception for Embodied... 2017
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning Sanmit Narvekar and Jivko Sinapov and Peter Stone In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI),... 2017
Data-Efficient Policy Evaluation Through Behavior Policy Search Josiah Hanna and Philip Thomas and Peter Stone and Scott Niekum In Proceedings of the 34th International Conference on Machine Learning (ICML), Sydney, Austr... 2017
Decision mechanisms underlying mood-congruent emotional classification Corey White and Elad Liebman and Peter Stone Cognition and Emotion:1--10, 2017. Taylor and Francis. 2017
Network-wide adaptive tolling for connected and automated vehicles Guni Sharon and Michael W. Levin and Josiah P. Hanna and Tarun Rambha and Stephen D. Boyles and Pete... Transportation Research Part C, 84:142--157, September 2017. 2017
Opportunistic Active Learning for Grounding Natural Language Descriptions Jesse Thomason and Aishwarya Padmakumar and Jivko Sinapov and Justin Hart and Peter Stone and Raymon... In Sergey Levine and Vincent Vanhoucke and Ken Goldberg, editors, Proceedings of the 1st Annual C... 2017
Leveraging Commonsense Reasoning and Multimodal Perception for Robot Spoken Dialog Systems Dongcai Lu and Shiqi Zhang and Peter Stone and Xiaoping Chen In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)<... 2017
Integrated Commonsense Reasoning and Probabilistic Planning Shiqi Zhang and Peter Stone In Proceedings of 2017 ICAPS Workshop on Planning and Robotics, Pittsburgh, Pennsylvania, Jun... 2017
Fast and Precise Black and White Ball Detection for RoboCup Soccer Jacob Menashe and Josh Kelle and Katie Genter and Josiah Hanna and Elad Liebman and Sanmit Narvekar ... In 2017, editors, {R}obo{C}up-2017: Robot Soccer World Cup {XXI}, Nagoya, Japan, July 2017. 2017
A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections Guni Sharon and Peter Stone In Proceedings of the 2nd International Workshop on Agent-based modeling of urban systems (ABMUS-... 2017
CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression Santiago Gonzalez and Vijay Chidambaram and Jivko Sinapov and Peter Stone In Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '... 2017
Iterative Human-Aware Mobile Robot Navigation Shih-Yun Lo and Benito Fernandez and Peter Stone In Proceedings of the Human-Centered Robotics workshop of the 13th International Conference on Ro... 2017
Automated Design of Robust Mechanisms Michael Albert and Vincent Conitzer and Peter Stone In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San ... 2017
Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? Michael Albert and Vincent Conitzer and Peter Stone In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS-17),... 2017
Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges Patrick MacAlpine and Peter Stone In Gita Sukthankar and Juan A. Rodriguez-Aguilar, editors, Autonomous Agents and Multiagent Syste... 2017
{UT} {A}ustin {V}illa: {R}obo{C}up 2017 3{D} Simulation League Competition and Technical Challenges Champions Patrick MacAlpine and Peter Stone In Claude Sammut and Oliver Obst and Flavio Tonidandel and Hidehisa Akyama, editors, {R}obo{C}up ... 2017
TD Learning with Constrained Gradients Ishan Durugkar and Peter Stone In Proceedings of the Deep Reinforcement Learning Symposium, NIPS 2017, Long Beach, CA, USA, ... 2017
{I}mpact of {M}usic on {D}ecision {M}aking in {Q}uantitative {T}asks Elad Liebman and Peter Stone and Corey N. White In 17th International Society for Music Information retrieval Conference (ISMIR), NYC, USA, A... 2016
Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots Shiqi Zhang and Dongcai Lu and Xiaoping Chen and Peter Stone In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), New ... 2016
A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer David L. Leottau and Javier Ruiz-del-Solar and Patrick MacAlpine and Peter Stone In Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke, editors, {R}obo{C}up-2015: Ro... 2016
Ad Hoc Teamwork Behaviors for Influencing a Flock Katie Genter and Peter Stone Acta Polytechnica, 2016. 2016
{UT} {A}ustin {V}illa: {R}obo{C}up 2015 3{D} Simulation League Competition and Technical Challenges Champions Patrick MacAlpine and Josiah Hanna and Jason Liang and Peter Stone In Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke, editors, {R}obo{C}up-2015: Ro... 2016
Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market Daniel Urieli and Peter Stone In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), Phoenix, AZ, US... 2016
{B}in-{B}ased {E}stimation of the {A}mount of {E}ffort for {E}mbedded {S}oftware {D}evelopment {P}rojects with {S}upport {V}ector {M}achines Kazunori Iwata and Elad Liebman and Peter Stone and Toyoshiro Nakashima and Yoshiyuki Anan and Naohi... In Roger Lee, editors, {C}omputer and {I}nformation {S}cience , Berlin, 2016. Springer Verlag... 2016
Deep Reinforcement Learning in Parameterized Action Space Matthew Hausknecht and Peter Stone In Proceedings of the International Conference on Learning Representations (ICLR), San Juan, ... 2016
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis Daniel Urieli and Peter Stone In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (... 2016
Prioritized Role Assignment for Marking Patrick MacAlpine and Peter Stone In Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh, editors, {R}obo{C}up 2016: Ro... 2016
{UT} {A}ustin {V}illa RoboCup 3{D} Simulation Base Code Release Patrick MacAlpine and Peter Stone In Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh, editors, {R}obo{C}up 2016: Ro... 2016
Source Task Creation for Curriculum Learning Sanmit Narvekar and Jivko Sinapov and Matteo Leonetti and Peter Stone In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (... 2016
Deep Imitation Learning for Parameterized Action Spaces Matthew Hausknecht and Yilun Chen and Peter Stone In AAMAS Adaptive Learning Agents (ALA) Workshop, Singapore, May 2016. 2016
Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork Matthew Hausknecht and Prannoy Mupparaju and Sandeep Subramanian and Shivaram Kalyanakrishnan and Pe... In AAMAS Adaptive Learning Agents (ALA) Workshop, Singapore, May 2016. 2016
Machine Learning Capabilities of a Simulated Cerebellum Matthew Hausknecht and Wen-Ke Li and Michael Mauk and Peter Stone IEEE Transactions on Neural Networks and Learning Systems, January 2016. 2016
Robust Automated Mechanism Design Michael Albert and Vincent Conitzer and Peter Stone In Proceedings of the EC 2016 2nd Algorithmic Game Theory and Data Science Workshop, Netherla... 2016
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy" Jesse Thomason and Jivko Sinapov and Maxwell Svetlik and Peter Stone and Raymond J. Mooney In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16) 2016
Adding Influencing Agents to a Flock Katie Genter and Peter Stone In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (... 2016
Adaptation of Surrogate Tasks for Bipedal Walk Optimization Patrick MacAlpine and Elad Liebman and Peter Stone In GECCO Surrogate-Assisted Evolutionary Optimisation (SAEOpt) Workshop, Denver, Colorado, US... 2016
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning Shiqi Zhang and Piyush Khandelwal and Peter Stone In IJCAI'16 Workshop on Autonomous Mobile Service Robots, New York City, USA, July 2016. 2016
Multirobot Symbolic Planning under Temporal Uncertainty Shiqi Zhang and Yuqian Jiang and Guni Sharon and Peter Stone In IJCAI'16 Workshop on Autonomous Mobile Service Robots, New York City, USA, July 2016. 2016
Minimum Cost Matching for Autonomous Carsharing Josiah P. Hanna and Michael Albert and Donna Chen and Peter Stone In Proceedings of the 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2016), Leipz... 2016
State Aggregation through Reasoning in Answer Set Programming Ginevra Gaudioso, Matteo Leonetti, and Peter Stone In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR 16), New York C... 2016
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput Guni Sharon and Josiah Hanna and Tarun Rambha and Michael Albert and Peter Stone and Stephen D. Boyl... In Proceedings of the 9th International Workshop on Agents in Traffic and Transportation (ATT 201... 2016
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search Khandelwal, Piyush and Liebman, Elad and Niekum, Scott and Stone, Peter In Proceedings of The 33rd International Conference on Machine Learning, 1319--1328, New York... 2016
On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning Matthew Hausknecht and Peter Stone In Deep Reinforcement Learning: Frontiers and Challenges, IJCAI Workshop, New York, July 2016... 2016
{UT} {A}ustin {V}illa: {R}obo{C}up 2016 3{D} Simulation League Competition and Technical Challenges Champions Patrick MacAlpine and Peter Stone In Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh, editors, {R}obo{C}up 2016: Ro... 2016
Making Friends on the Fly: Cooperating with New Teammates Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone Artificial Intelligence, October 2016. 2016
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making Matteo Leonetti and Luca Iocchi and Peter Stone Artificial Intelligence, 241:103 - 130, September 2016. 2016
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors Jivko Sinapov and Priyanka Khante and Maxwell Svetlik and Peter Stone In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI),... 2016
Three Years of the RoboCup Standard Platform League Drop-in Player Competition: Creating and Maintaining a Large Scale Ad Hoc Teamwork Robotics Competition Katie Genter and Tim Laue and Peter Stone Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS):1--31, 2016. Springer. 2016
Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial Stefano Albrecht and Somchaya Liemhetcharat and Peter Stone Autonomous Agents and Multi-Agent Systems, 2016. 2016
Grounded Semantic Networks for Learning Shared Communication Protocols Matthew Hausknecht and Peter Stone In Deep Reinforcement Learning, NIPS Workshop, Barcelona, Spain, December 2016. 2016
Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League Mike Depinet and Patrick MacAlpine and Peter Stone In H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura, editors,... 2015
Autonomous Intersection Management for Semi-Autonomous Vehicles Tsz-Chiu Au, Shun Zhang and Peter Stone In Handbook of Transportation, May 2015. 2015
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot Shiqi Zhang and Peter Stone In Proceedings of the 29th Conference on Artificial Intelligence (AAAI), January 2015. 2015
{SCRAM}: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning Patrick MacAlpine and Eric Price and Peter Stone In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January... 2015
{UT} {A}ustin {V}illa 2014: {R}obo{C}up 3{D} Simulation League Champion via Overlapping Layered Learning Patrick MacAlpine and Mike Depinet and Peter Stone In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January... 2015
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork Samuel Barrett and Peter Stone In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 2015. 2015
{UT} {A}ustin {V}illa: {R}obo{C}up 2014 3{D} Simulation League Competition and Technical Challenge Champions Patrick MacAlpine and Mike Depinet and Jason Liang and Peter Stone In H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura, editors,... 2015
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation Elad Liebman and Maytal Saar-Tsechansky and Peter Stone In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (... 2015
Determining Placements of Influencing Agents in a Flock Katie Genter and Shun Zhang and Peter Stone In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (... 2015
The Impact of Determinism on Learning Atari 2600 Games Matthew Hausknecht and Peter Stone In AAAI Workshop on Learning for General Competency in Video Games, Austin, Texas, USA, Janua... 2015
Robot-centric Activity Recognition "in the Wild" Gori, I., Sinapov, J., Khante, P., Stone, P., and Aggarwal, J.K. In Proceedings of the International Conference on Social Robotics (ICSR), October 2015. 2015
Leading the Way: An Efficient Multi-robot Guidance System Piyush Khandelwal and Samuel Barrett and Peter Stone In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Tu... 2015
Monte Carlo Hierarchical Model Learning Jacob Menashe and Peter Stone In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (... 2015
Learning Inter-Task Transferability in the Absence of Target Task Samples Jivko Sinapov and Sanmit Narvekar and Matteo Leonetti and Peter Stone In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS... 2015
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance W. Bradley Knox and Peter Stone Artificial Intelligence, 225, August 2015. 2015
Learning to Interpret Natural Language Commands through Human-Robot Dialog Jesse Thomason and Shiqi Zhang and Raymond Mooney and Peter Stone In Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI),... 2015
Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy Shiqi Zhang and Fangkai Yang and Piyush Khandelwal and Peter Stone In Proceedings of the 13th International Conference on Logic Programming and Non-monotonic Reason... 2015
How Music Alters Decision Making: Impact of Music Stimuli on Emotional Classification Elad Liebman and Peter Stone and Corey N. White In 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spa... 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew Hausknecht and Peter Stone In AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents (AAAI-SDMIA15), A... 2015
Intrinsically motivated model learning for developing curious robots Todd Hester and Peter Stone Artificial Intelligence, May 2015. Elsevier. 2015
Benchmarking Robot Cooperation without Pre-Coordination in the RoboCup Standard Platform League Drop-In Player Competition Katie Genter and Tim Laue and Peter Stone In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (I... 2015
Representative Selection in Nonmetric Datasets Elad Liebman and Benny Chor and Peter Stone Applied Artificial Intelligence, 29(8):807--838, 2015. 2015
Multi-robot Human Guidance using Topological Graphs Piyush Khandelwal and Peter Stone In AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS), March 201... 2014
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots Fangkai Yang and Piyush Khandelwal and Matteo Leonetti and Peter Stone %RefShort% 2014
TacTex'13: A Champion Adaptive Power Trading Agent Daniel Urieli and Peter Stone In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014), July 2... 2014
Planning in Action Language BC while Learning Action Costs for Mobile Robots Piyush Khandelwal and Fangkai Yang and Matteo Leonetti and Vladimir Lifschitz and Peter Stone In International Conference on Automated Planning and Scheduling (ICAPS), June 2014. 2014
Orienting a Flock via Ad Hoc Teamwork Katie Genter and Peter Stone In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (... 2014
Influencing a Flock via Ad Hoc Teamwork Katie Genter and Peter Stone In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), Septe... 2014
Mobile Robot Planning using Action Language BC with Hierarchical Domain Abstractions Shiqi Zhang and Fangkai Yang and Piyush Khandelwal and Peter Stone In The 7th Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP), July 20... 2014
Modeling Uncertainty in Leading Ad Hoc Teams Noa Agmon and Samuel Barrett and Peter Stone In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. 2014
{SCRAM}: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning Patrick MacAlpine and Eric Price and Peter Stone In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Ac... 2014
The {R}obo{C}up 2013 Drop-In Player Challenges: A Testbed for Ad Hoc Teamwork Patrick MacAlpine, Katie Genter, Samuel Barrett, and Peter Stone In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Ac... 2014
The {R}obo{C}up 2013 Drop-In Player Challenges: Experiments in Ad Hoc Teamwork Patrick MacAlpine and Katie Genter and Samuel Barrett and Peter Stone In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)<... 2014
Communicating with Unknown Teammates Samuel Barrett and Noa Agmon and Noam Hazon and Sarit Kraus and Peter Stone In Proceedings of the Twenty-First European Conference on Artificial Intelligence, August 201... 2014
Cooperating with Unknown Teammates in Robot Soccer Samuel Barrett and Peter Stone In AAMAS Autonomous Robots and Multirobot Systems Workshop (ARMS 2014), May 2014. 2014
Cooperating with Unknown Teammates in Robot Soccer Samuel Barrett and Peter Stone In AAAI Workshop on Multiagent Interaction without Prior Coordination (MIPC 2014), July 2014. 2014
UT Austin Villa: RoboCup 2012 3D Simulation League Champion Patrick MacAlpine and Nick Collins and Adrian Lopez-Mobilia and Peter Stone In Xiaoping Chen and Peter Stone and Luis Enrique Sucar and Tijn Van der Zant, editors, {R}obo{C}... 2013
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System Patrick MacAlpine and Francisco Barrera and Peter Stone In {R}obo{C}up-2012: Robot Soccer World Cup {XVI}, 2013. 2013
UT Austin Villa 2012: Standard Platform League World Champions Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter St... In Xiaoping Chen and Peter Stone and Luis Enrique Sucar and Tijn Van der Zant, editors, RoboCup-2... 2013
A Learning Agent for Heat-Pump Thermostat Control Daniel Urieli and Peter Stone In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (... 2013
Learning Non-Myopically from Human-Generated Reward W. Bradley Knox and Peter Stone In In Proceedings of the International Conference on Intelligent User Interfaces (IUI), March... 2013
Ad Hoc Teamwork for Leading a Flock Katie Genter and Noa Agmon and Peter Stone In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (... 2013
Humanoid Robots Learning to Walk Faster: From the Real World to Simulation and Back Alon Farchy and Samuel Barrett and Patrick MacAlpine and Peter Stone In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2013. 2013
Learning Exploration Strategies in Model-Based Reinforcement Learning Todd Hester and Manuel Lopes and Peter Stone In The Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), ... 2013
Cooperating with a Markovian Ad Hoc Teammate Doran Chakraborty and Peter Stone In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (... 2013
Multiagent Learning in the Presence of Memory-Bounded Agents Doran Chakraborty and Peter Stone In Autonomous Agents and Multiagent Systems (JAAMAS), 2013. Springer. 2013
Targeted Opponent Modeling of Memory-Bounded Agents Doran Chakraborty and Peter Stone In Proceedings of the Adaptive Learning Agents Workshop (ALA), May 2013. 2013
Simultaneous Learning and Reshaping of an Approximated Optimization Task Patrick MacAlpine and Elad Liebman and Peter Stone In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013. 2013
Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System Daniel Urieli and Peter Stone In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Database... 2013
Teamwork with Limited Knowledge of Teammates Samuel Barrett and Peter Stone and Sarit Kraus and Avi Rosenfeld In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence , July 2013. 2013
Communicating with Unknown Teammates Samuel Barrett and Noa Agmon and Noam Hazon and Sarit Kraus and Peter Stone In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013. 2013
Teaching and leading an ad hoc teammate: Collaboration without pre-coordination Peter Stone and Gal A. Kaminka and Sarit Kraus and Jeffrey R. Rosenschein and Noa Agmon Artificial Intelligence, 2013. Official version from http://authors.elsevier.com/sd/article/S... 2013
The 2012 {UT Austin Villa} Code Release Samuel Barrett and Katie Genter and Yuchen He and Todd Hester and Piyush Khandelwal and Jacob Menash... In {R}obo{C}up-2013: Robot Soccer World Cup {XVII}, 2013. 2013
Training a Robot via Human Feedback: A Case Study W. Bradley Knox and Peter Stone and Cynthia Breazeal In Social Robotics, October 2013. 2013
Auction-based autonomous intersection management Dustin Carlino and Stephen D. Boyles and Peter Stone In Proceedings of the 16th IEEE Intelligent Transportation Systems Conference (ITSC), 2013. 2013
The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots Todd Hester and Peter Stone In Sven Behnke and Arnoud Visser and Rong Xiong and Manuela Veloso, editors, RoboCup-2013: Robot ... 2013
Improving Efficiency of Leading a Flock in Ad Hoc Teamwork Settings Katie Genter and Noa Agmon and Peter Stone In AAMAS Autonomous Robots and Multirobot Systems (ARMS) Workshop, May 2013. 2013
Role-Based Ad Hoc Teamwork Katie Genter and Noa Agmon and Peter Stone In Gita Sukthankar, editors, Plan, Activity, and Intent Recognition, Philadelphia, PA, USA, 2... 2013
UT Austin Villa 2013: Advances in Vision, Kinematics, and Strategy Jacob Menashe and Katie Genter and Samuel Barrett and Peter Stone In The Eighth Workshop on Humanoid Soccer Robots at Humanoids 2013, October 2013. 2013
A Neuroevolution Approach to General Atari Game Playing Matthew Hausknecht and Joel Lehman and Risto Miikkulainen and Peter Stone IEEE Transactions on Computational Intelligence and AI in Games, 2013. 2013
Using a million cell simulation of the cerebellum: Network scaling and task generality Wen-Ke Li and Matthew J. Hausknecht and Peter Stone and Michael D. Mauk Neural Networks, November 2012. 2012
Evasion Planning for Autonomous Vehicles at Intersections Tsz-Chiu Au and Chien-Liang Fok and Sriram Vishwanath and Christine Julien and Peter Stone In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Octobe... 2012
{TEXPLORE}: Real-Time Sample-Efficient Reinforcement Learning for Robots Todd Hester and Peter Stone Machine Learning, 2012. 2012
{RTMBA}: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control Todd Hester and Michael Quinlan and Peter Stone In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012. 2012
{A}ustin {V}illa 2011: Sharing is Caring: Better Awareness through Information Sharing Samuel Barrett and Katie Genter and Todd Hester and Piyush Khandelwal and Michael Quinlan and Peter ... Technical Report, Department of Computer Science, The University of Texas at Austin, January 2012. T... 2012
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks W. Bradley Knox and Peter Stone In In Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communi... 2012
How Humans Teach Agents: A New Experimental Perspective W. Bradley Knox and Brian D. Glass and Bradley C. Love and W. Todd Maddox and Peter Stone International Journal of Social Robotics, 4:409-421, 2012. Springer Netherlands. 2012
Setpoint Scheduling for Autonomous Vehicle Controllers Tsz-Chiu Au and Michael Quinlan and Peter Stone In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012. 2012
An Analysis Framework for Ad Hoc Teamwork Tasks Samuel Barrett and Peter Stone In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (... 2012
On Coordination in Practical Multi-Robot Patrol Noa Agmon and Chien-Liang Fok and Yehuda Emaliah and Peter Stone and Christine Julien and Sriram Vis... In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012. 2012
Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates Noa Agmon and Peter Stone In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 20... 2012
{UT} {A}ustin {V}illa 2011: A Champion Agent in the {R}obo{C}up 3{D} Soccer Simulation Competition Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Shivaram Kalyanakrishnan and Francisco Ba... In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'12), June 2012... 2012
Reinforcement Learning with Human and MDP Reward W. Bradley Knox and Peter Stone In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (... 2012
Learning from feedback on actions past and intended W. Bradley Knox and Cynthia Breazeal and Peter Stone In In Proceedings of 7th ACM/IEEE International Conference on Human-Robot Interaction, Late-Break... 2012
The Nature of Belief-Directed Exploratory Choice in Human Decision-Making W. Bradley Knox and A. Ross Otto and Peter Stone and Bradley Love Frontiers in Psychology, 2, 2012. The paper can be accessed at: http://www.frontiersin.org/Jo... 2012
Role Selection in Ad Hoc Teamwork Katie Genter and Noa Agmon and Peter Stone In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (... 2012
A Platform for Evaluating Autonomous Intersection Management Policies Chien-Liang Fok and Maykel Hanna and Seth Gee and Tsz-Chiu Au and Peter Stone and Christine Julien a... In Proceedings of the {ACM/IEEE} Third International Conference on Cyber-Physical Systems (ICCPS ... 2012
{W}right {E}agle and {UT} {A}ustin {V}illa: {R}obo{C}up 2011 Simulation League Champions Aijun Bai and Xiaoping Chen and Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Peter Sto... In {R}obo{C}up-2011: Robot Soccer World Cup {XV}, 2012. 2012
Intrinsically Motivated Model Learning for a Developing Curious Agent Todd Hester and Peter Stone In Eleventh International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learn... 2012
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone In Genetic and Evolutionary Computation Conference (GECCO) 2012, 2012. 2012
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the {R}obo{C}up 2011 3{D} Simulation Competition Patrick MacAlpine and Samuel Barrett and Daniel Urieli and Victor Vu and Peter Stone In Twenty-Sixth Conference on Artificial Intelligence (AAAI'12), July 2012. 2012
Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk Patrick MacAlpine and Peter Stone In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012. 2012
PAC Subset Selection in Stochastioc Multi-armed Bandits Shivaram Kalyanakrishnan and Ambuj Tewari and Peter Auer and Peter Stone In In proceedings of the 29th International Conference on Machine Learning (ICML 2012), June-... 2012
Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles Dustin Carlino and Mike Depinet and Piyush Khandelwal and Peter Stone In Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC 2012), Se... 2012
Intrinsically Motivated Model Learning for a Developing Curious Agent Todd Hester and Peter Stone In The Eleventh International Conference on Development and Learning (ICDL), Nov 2012. 2012
Video: RoboCup Robot Soccer History 1997 - 2011 Manuela Veloso and Peter Stone In Proceedings of IROS 2012-IEEE/RSJ International Conference on Intelligent Robots and Systems (... 2012
Learning Teammate Models for Ad Hoc Teamwork Samuel Barrett and Peter Stone and Sarit Kraus and Avi Rosenfeld In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012. 2012
Austin Villa 2010 Standard Platform Team Report Samuel Barrett and Katie Genter and Matthew Hausknecht and Todd Hester and Piyush Khandelwal and Juh... Technical Report, Department of Computer Science, The University of Texas at Austin, January 2011. T... 2011
A Low Cost Ground Truth Detection System Using the Kinect Piyush Khandelwal and Peter Stone In Proceedings of the RoboCup International Symposium 2011 (RoboCup 2011), July 2011. 2011
On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer Daniel Urieli and Patrick MacAlpine and Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'11), May 2011. 2011
On Learning with Imperfect Representations Shivaram Kalyanakrishnan and Peter Stone In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learn... 2011
Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone In {IEEE} Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April... 2011
Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain Samuel Barrett and Peter Stone and Sarit Kraus In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 201... 2011
Empowerment for Continuous Agent-Environment Systems Tobias Jung and Daniel Polani and Peter Stone Adaptive Behavior, 19(1):16-39, 2011. 2011
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles Paul Scerri and Balajee Kannan and Pras Velagapudi and Kate Macarthur and Peter Stone and Matthew E.... In Proceedings of the Autonomous Robots and Multirobot Systems workshop (at AAMAS-11), May 20... 2011
A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control Todd Hester and Michael Quinlan and Peter Stone %RefShort% 2011
Multiagent Patrol Generalized to Complex Environmental Conditions Noa Agmon and Daniel Urieli and Peter Stone In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI'11), August 20... 2011
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree Doran Chakraborty and Peter Stone In Proceedings of the Twenty Eighth International Conference on Machine Learning (ICML'11), J... 2011
Learning and Using Models Todd Hester and Peter Stone In Reinforcement Learning: State of the Art, 2011. 2011
Enforcing Liveness in Autonomous Traffic Management Tsz-Chiu Au and Neda Shahidi and Peter Stone In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, August 2011. 2011
Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report W. Bradley Knox and Peter Stone In IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 201... 2011
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations David Pardoe and Peter Stone In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 201... 2011
An Introduction to Inter-task Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone AI Magazine, 32(1):15--34, 2011. 2011
Characterizing Reinforcement Learning Methods through Parameterized Learning Problems Shivaram Kalyanakrishnan and Peter Stone Machine Learning, 2011. 2011
Autonomous Intersection Management: Multi-Intersection Optimization Matthew Hausknecht and Tsz-Chiu Au and Peter Stone In Proceedings of IROS 2011-IEEE/RSJ International Conference on Intelligent Robots and Systems (... 2011
Role-Based Ad Hoc Teamwork Katie Genter and Noa Agmon and Peter Stone In Proceedings of the Plan, Activity, and Intent Recognition Workshop at the Twenty-Fifth Confere... 2011
Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards Samuel Barrett and Peter Stone In Tenth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning... 2011
Comparing Agents: Success against People in Security Domains Raz Lin and Sarit Kraus and Noa Agmon and Samuel Barrett and Peter Stone In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011. 2011
Dynamic Lane Reversal in Traffic Management Matthew Hausknecht and Tsz-Chiu Au and Peter Stone and David Fajardo and Travis Waller In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), October 2011. 2011
{UT} {A}ustin {V}illa 2011 3{D} {S}imulation {T}eam Report Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Shivaram Kalyanakrishnan and Francisco Ba... Technical Report, Department of Computer Science, The University of Texas at Austin, December 2011. 2011
Generalized Model Learning for Reinforcement Learning on a Humanoid Robot Todd Hester and Michael Quinlan and Peter Stone In International Conference on Robotics and Automation, 2010. 2010
Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning W. Bradley Knox and Peter Stone In Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010... 2010
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training Adam Setapen and Michael Quinlan and Peter Stone In International Conference on Autonomous Agents and Multiagent Systems, 2010. 2010
TacTex09: A Champion Bidding Agent for Ad Auctions David Pardoe and Doran Chakraborty and Peter Stone In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (A... 2010
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker Matthew Hausknecht and Peter Stone In Robocup International Symposium, 2010. 2010
Boosting for Regression Transfer David Pardoe and Peter Stone In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), June 201... 2010
Real Time Targeted Exploration in Large Domains Todd Hester and Peter Stone In 2010, editors, Proceedings of the Ninth International Conference on Development and Learning (... 2010
Efficient Selection of Multiple Bandit Arms: Theory and Practice Shivaram Kalyanakrishnan and Peter Stone In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), 2010. 2010
Online Model Learning in Adversarial Markov Decision Processes (Extended Abstract) Doran Chakraborty and Peter Stone In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems ... 2010
Convergence, Targeted Optimality and Safety in Multiagent Learning Doran Chakraborty and Peter Stone In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010)... 2010
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration Tobias Jung and Peter Stone In Proceedings of the European Conference on Machine Learning, September 2010. 2010
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection Michael Quinlan and Tsz-Chiu Au and Jesse Zhu and Nicolae Stiurca and Peter Stone In Proceedings of IROS 2010-IEEE/RSJ International Conference on Intelligent Robots and Systems (... 2010
Motion Planning Algorithms for Autonomous Intersection Management Tsz-Chiu Au and Peter Stone In AAAI 2010 Workshop on Bridging The Gap Between Task And Motion Planning (BTAMP), 2010. 2010
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations David Pardoe and Peter Stone In EC 2010 Workshop on Trading Agent Design and Analysis (TADA), Cambridge, Massachusetts, 20... 2010
Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Tayfun Keskin and Kerem Tomak Informs Journal on Computing, 22(3):353-370, 2010. 2010
Transfer Learning for Reinforcement Learning on a Physical Robot Samuel Barrett and Matthew E. Taylor and Peter Stone In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning... 2010
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training Adam Setapen and Michael Quinlan and Peter Stone In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning I... 2010
Controlled Kicking under Uncertainty Samuel Barrett and Katie Genter and Todd Hester and Michael Quinlan and Peter Stone In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN, 2010. 2010
Vision Calibration and Processing on a Humanoid Soccer Robot Piyush Khandelwal and Matthew Hausknecht and Juhyun Lee and Aibo Tian and Peter Stone In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN, 2010. 2010
Compositional Models for Reinforcement Learning Nicholas K. Jong and Peter Stone In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery... 2009
An Empirical Comparison of Abstraction in Models of Markov Decision Processes Todd Hester and Peter Stone In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, June 2... 2009
Interactively Shaping Agents via Human Reinforcement: The TAMER Framework W. Bradley Knox and Peter Stone In The Fifth International Conference on Knowledge Capture, September 2009. 2009
Color Learning and Illumination Invariance on Mobile Robots: A Survey Mohan Sridharan and Peter Stone Robotics and Autonomous Systems (RAS) Journal, 57(60-7):629-44, June 2009. 2009
An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning Shivaram Kalyanakrishnan and Peter Stone In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 7... 2009
Generalized Model Learning for Reinforcement Learning in Factored Domains Todd Hester and Peter Stone In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), M... 2009
Learning Complementary Multiagent Behaviors: A Case Study Shivaram Kalyanakrishnan and Peter Stone In Proceedings of the RoboCup International Symposium 2009, 2009. Springer Verlag. 2009
Three Humanoid Soccer Platforms: Comparison and Synthesis Shivaram Kalyanakrishnan and Todd Hester and Michael Quinlan and Yinon Bentor and Peter Stone In Proceedings of the RoboCup International Symposium 2009, 2009. Springer Verlag. 2009
The UT Austin Villa 3D Simulation Soccer Team 2008 Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone Technical Report AI09-01, The University of Texas at Austin, Department of Computer Sciences, AI Lab... 2009
Feature Selection for Value Function Approximation Using Bayesian Model Selection Tobias Jung and Peter Stone In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery... 2009
Improving Particle Filter Performance Using SSE Instructions Peter Djeu and Michael Quinlan and Peter Stone In Proceedings of IROS 2009: 2009 IEEE/RSJ International Conference on Intelligent RObots and Sys... 2009
Transfer Learning for Reinforcement Learning Domains: A Survey Matthew E. Taylor and Peter Stone Journal of Machine Learning Research, 10(1):1633-1685, 2009. 2009
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning Shimon Whiteson and Matthew E. Taylor and Peter Stone Journal of Autonomous Agents and Multi-Agent Systems, 21(1):1-27, 2009. 2009
Generalized Domains for Empirical Evaluations in Reinforcement Learning Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone In ICML Workshop on Evaluation Methods for Machine Learning, June 2009. To appear.. 2009
Leading a Best-Response Teammate in an Ad Hoc Team Peter Stone and Gal A. Kaminka and Jeffrey S. Rosenschein In {AAMAS} Workshop on Agent Mediated Electronic Commerce, 153-167, May 2009. 2009
Design Principles for Creating Human-Shapable Agents W. Bradley Knox and Ian Fasel and Peter Stone In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009. 2009
TT-UT Austin Villa 2009: Naos across Texas Todd Hester and Michael Quinlan and Peter Stone and Mohan Sridharan Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department of Computer Science, ... 2009
Connectivity-based Localization in Robot Networks Tobias Jung and Mazda Ahmadi and Peter Stone In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), June 2009. 2009
A Multiagent Approach to Autonomous Intersection Management Kurt Dresner and Peter Stone Journal of Artificial Intelligence Research, 31:591-656, March 2008. 2008
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting Juhyun Lee and W. Bradley Knox and Peter Stone Journal of Physical Agents, 2(2):41-50, July 2008. Special Issue on Human Interaction with Do... 2008
Multiagent Interactions in Urban Driving Patrick Beeson and Jack O'Quin and Bartley Gillan and Tarun Nimmagadda and Mickey Ristroph and David... Journal of Physical Agents, 2(1):15-30, March 2008. Special issue on Multi-Robot Systems. 2008
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents Daniel Stronger and Peter Stone International Journal on Artificial Intelligence Tools, 17(1):159-174, February 2008. 2008
Domestic Interaction on a Segway Base W. Bradley Knox and Juhyun Lee and Peter Stone In RoboCup-2008: Robot Soccer World Cup XII, 2008. 2008
A Neural Network-Based Approach to Robot Motion Control Uli Grasemann and Daniel Stronger and Peter Stone In Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert, editors, RoboCup-2007:... 2008
Instance-Based Action Models for Fast Action Planning Mazda Ahmadi and Peter Stone In Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert, editors, RoboCup-2007:... 2008
Model-based Reinforcement Learning in a Complex Domain Shivaram Kalyanakrishnan and Peter Stone and Yaxin Liu In Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert, editors, RoboCup-2007:... 2008
Online Multiagent Learning against Memory Bounded Adversaries Doran Chakraborty and Peter Stone In Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Artificial Intelli... 2008
Transferring Instances for Model-Based Reinforcement Learning Matthew E. Taylor and Nicholas K. Jong and Peter Stone In Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Artificial Intelli... 2008
Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ Nicholas K. Jong and Peter Stone In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008. 2008
Online Kernel Selection for Bayesian Reinforcement Learning Joseph Reisinger and Peter Stone and Risto Miikkulainen In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008. 2008
The Utility of Temporal Abstraction in Reinforcement Learning Nicholas K. Jong and Todd Hester and Peter Stone In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, M... 2008
Autonomous Transfer for Reinforcement Learning Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, Ma... 2008
Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot Daniel Stronger and Peter Stone In IEEE International Conference on Robotics and Automation, May 2008. 2008
Negative Information and Line Observations for Monte Carlo Localization Todd Hester and Peter Stone In IEEE International Conference on Robotics and Automation, May 2008. 2008
Transfer Learning and Intelligence: an Argument and Approach Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In Proceedings of the First Conference on Artificial General Intelligence, March 2008. 2008
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles Kurt Dresner and Peter Stone In AAMAS Workshop on Agents in Traffic and Transportation, 78-85, Estoril, Portugal, May 2008... 2008
Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles Mark VanMiddlesworth and Kurt Dresner and Peter Stone In AAMAS Workshop on Agents in Traffic and Transportation, 94-101, Estoril, Portugal, May 200... 2008
A General Purpose Task Specification Language for Bootstrap Learning Ian Fasel and Michael Quinlan and Peter Stone In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2008. 2008
The 2007 TAC SCM Prediction Challenge David Pardoe and Peter Stone In AAAI 2008 Workshop on Trading Agent Design and Analysis, 2008. 2008
UT Austin Villa 2008: Standing on Two Legs Todd Hester, Michael Quinlan, and Peter Stone Technical Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, ... 2008
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition Michael P. Wellman and Amy Greenwald and Peter Stone %RefShort% 2007
Intelligent Autonomous Robotics: A Robot Soccer Case Study Peter Stone %RefShort% 2007
Structure Based Color Learning on a Mobile Robot under Changing Illumination Mohan Sridharan and Peter Stone Autonomous Robots, 23(3):161-182, 2007. 2007
Planning Actions to Enable Color Learning on a Mobile Robot Mohan Sridharan and Peter Stone International Journal of Information and Systems Sciences, 3(3):510-25, 2007. 2007
Multiagent learning is not the answer. It is the question Peter Stone Artificial Intelligence, 171:402-05, May 2007. 2007
Empirical Studies in Action Selection for Reinforcement Learning Shimon Whiteson and Matthew E. Taylor and Peter Stone Adaptive Behavior, 15(1):33-50, March 2007. 2007
An Autonomous Agent for Supply Chain Management David Pardoe and Peter Stone In Gedas Adomavicius and Alok Gupta, editors, Handbooks in Information Systems Series: Business C... 2007
Selective Visual Attention for Object Detection on a Legged Robot Daniel Stronger and Peter Stone In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study Shivaram Kalyanakrishnan and Yaxin Liu and Peter Stone In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot Peggy Fidelman and Peter Stone In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
Autonomous Learning of Stable Quadruped Locomotion Manish Saggar and Thomas D'Silva and Nate Kohl and Peter Stone In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
Action Selection for Illumination Invariant Color Learning Mohan Sridharan and Peter Stone In The IEEE International Conference on Intelligent Robots and Systems (IROS), 2007. 2007
Graph-Based Domain Mapping for Transfer Learning in General Games Gregory Kuhlmann and Peter Stone In Proceedings of the 18th European Conference on Machine Learning, September 2007. 2007
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison Matthew E. Taylor and Shimon Whiteson and Peter Stone In Proceedings of the Twenty-Second Conference on Artificial Intelligence, 1675-1678, July 2... 2007
Cross-Domain Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007. 2007
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot Daniel Stronger and Peter Stone In IEEE International Conference on Robotics and Automation, 3915-3920, April 2007. 2007
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning Matthew E. Taylor and Shimon Whiteson and Peter Stone In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Sy... 2007
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks Mazda Ahmadi and Matthew E. Taylor and Peter Stone In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May... 2007
Batch Reinforcement Learning in a Complex Domain Shivaram Kalyanakrishnan and Peter Stone In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, 650... 2007
Model-Based Function Approximation for Reinforcement Learning Nicholas K. Jong and Peter Stone In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May... 2007
Learning and Multiagent Reasoning for Autonomous Agents Peter Stone In The 20th International Joint Conference on Artificial Intelligence, 13-30, January 2007. 2007
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination Mohan Sridharan and Peter Stone In The 20th International Joint Conference on Artificial Intelligence, 2212-2217, January 200... 2007
Sharing the Road: Autonomous Vehicles meet Human Drivers Kurt Dresner and Peter Stone In The 20th International Joint Conference on Artificial Intelligence, 1263-68, January 2007. 2007
General Game Learning using Knowledge Transfer Bikramjit Banerjee and Peter Stone In The 20th International Joint Conference on Artificial Intelligence, 672-677, January 2007. 2007
Machine Learning for On-Line Hardware Reconfiguration Jonathan Wildstrom and Peter Stone and Emmett Witchel and Mike Dahlin In The 20th International Joint Conference on Artificial Intelligence, 1113-1118, January 200... 2007
Learning Policy Selection for Autonomous Intersection Management Kurt Dresner and Peter Stone In AAMAS 2007 Workshop on Adaptive and Learning Agents, 34-39, Honolulu, Hawaii, USA, May 200... 2007
Adapting Price Predictions in TAC SCM David Pardoe and Peter Stone In AAMAS 2007 Workshop on Agent Mediated Electronic Commerce, 2007. 2007
Autonomous Return on Investment Analysis of Additional Processing Resources Jonathan Wildstrom and Peter Stone and Emmett Witchel In 2007 Workshop on Adaptive Methods in Autonomic Computing Systems, June 2007. 2007
Representation Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning ... 2007
Model-Based Exploration in Continuous State Spaces Nicholas K. Jong and Peter Stone In The Seventh Symposium on Abstraction, Reformulation, and Approximation, July 2007. 2007
Accelerating Search with Transferred Heuristics Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In ICAPS-07 workshop on AI Planning and Learning, September 2007. 2007
DARPA Urban Challenge Technical Report: Austin Robot Technology Peter Stone and Patrick Beeson and Tekin Mericli and Ryan Madigan , June 2007. Available from http://www.darpa.mil/grandchallenge/rules.asp. 2007
The UT Austin Villa 3D Simulation Soccer Team 2007 Shivaram Kalyanakrishnan and Peter Stone Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI L... 2007
Adaptive Tile Coding for Value Function Approximation Shimon Whiteson and Matthew E. Taylor and Peter Stone Technical Report AI-TR-07-339, University of Texas at Austin, 2007. 2007
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning Matthew E. Taylor and Peter Stone and Yaxin Liu Journal of Machine Learning Research, 8(1):2125-2167, 2007. 2007
Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems Peter Stone and Gerhard Weiss %RefShort% 2006
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty Peter Stone and Mohan Sridharan and Daniel Stronger and Gregory Kuhlmann and Nate Kohl and Peggy Fid... Robotics and Autonomous Systems, 54(11):933-43, November 2006. Special issue on Planning Unde... 2006
Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot Daniel Stronger and Peter Stone Connection Science, 18(2):97-119, 2006. Special Issue on Developmental Robotics.. 2006
Evolutionary Function Approximation for Reinforcement Learning Shimon Whiteson and Peter Stone Journal of Machine Learning Research, 7:877-917, May 2006. 2006
Cobot in LambdaMOO: An Adaptive Social Statistics Agent Charles Lee Isbell and Michael Kearns and Satinder Singh and Christian Shelton and Peter Stone and D... In Proceedings of the Seventeenth National Conference on Artificial Intelligence, 13(3), 36-4... 2006
Multiagent Traffic Management: Opportunities for Multiagent Learning Kurt Dresner and Peter Stone In K. Tuyls et al., editors, LAMAS 2005, Lecture Notes in Artificial Intelligence, 3898, 129-... 2006
Keepaway Soccer: From Machine Learning Testbed to Benchmark Peter Stone and Gregory Kuhlmann and Matthew E. Taylor and Yaxin Liu In Itsuki Noda and Adam Jacoff and Ansgar Bredenfeld and Yasutake Takahashi, editors, RoboCup-200... 2006
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data Mohan Sridharan and Peter Stone In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2... 2006
Adaptive Mechanism Design: A Metalearning Approach David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Kerem Tomak In The Eighth International Conference on Electronic Commerce, 92-102, August 2006. 2006
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots Mazda Ahmadi and Peter Stone In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 580-85, Ju... 2006
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning Shimon Whiteson and Peter Stone In {AAAI} 2006: {P}roceedings of the Twenty-First National Conference on Artificial Intelligence... 2006
TacTex-2005: A Champion Supply Chain Management Agent David Pardoe and Peter Stone In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 1489-94, J... 2006
Automatic Heuristic Construction in a Complete General Game Player Gregory Kuhlmann and Kurt Dresner and Peter Stone In Proceedings of the 21st National Conference on Artificial Intelligence, 1457-62, July 200... 2006
Know Thine Enemy: A Champion RoboCup Coach Agent Gregory Kuhlmann and William B. Knox and Peter Stone In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 1463-68, J... 2006
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping Yaxin Liu and Peter Stone In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 415-20, Ju... 2006
On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains Shimon Whiteson and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 1577-84, July 2006. 2006
Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms Harish Subramanian and Subramanian Ramamoorthy and Peter Stone and Benjamin Kuipers In Proceedings of the Genetic and Evolutionary Computation Conference, July 2006. 2006
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning Matthew Taylor and Shimon Whiteson and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 1321-28, July 2006. 2006
Predictive Planning for Supply Chain Management David Pardoe and Peter Stone In Proceedings of the International Conference on Automated Planning and Scheduling, June 200... 2006
A Multi-Robot System for Continuous Area Sweeping Tasks Mazda Ahmadi and Peter Stone In Proceedings of the IEEE International Conference on Robotics and Automation, 1724-1729, Ma... 2006
Value Function Transfer for General Game Playing Bikramjit Banerjee and Gregory Kuhlmann and Peter Stone In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006. 2006
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management Kurt Dresner and Peter Stone In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006. 2006
The UT Austin Villa 2006 RoboCup Four-Legged Team Peter Stone and Peggy Fidelman and Nate Kohl and Gregory Kuhlmann and Tekin Mericli and Mohan Sridha... Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences... 2006
Adapting to Workload Changes Through On-The-Fly Reconfiguration Jonathan Wildstrom and Peter Stone and Emmett Witchel and Mike Dahlin Technical Report UT-AI-TR-06-330, The University of Texas at Austin, Department of Computer Sciences... 2006
Reinforcement Learning for RoboCup-Soccer Keepaway Peter Stone and Richard S. Sutton and Gregory Kuhlmann Adaptive Behavior, 13(3):165-188, 2005. 2005
Evolving Keepaway Soccer Players through Task Decomposition Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone Machine Learning, 59(1):5-30, May 2005. 2005
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games Michael L. Littman and Peter Stone Decision Support Systems, 39:55-66, 2005. 2005
The First International Trading Agent Competition: Autonomous Bidding Agents Peter Stone and Amy Greenwald Electronic Commerce Research, 5(2):229-65, April 2005. 2005
Developing Adaptive Auction Mechanisms David Pardoe and Peter Stone SIGecom Exchanges, 5(3):1-10, April 2005. 2005
Bidding for Customer Orders in TAC SCM David Pardoe and Peter Stone In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theori... 2005
Three Automated Stock-Trading Agents: A Comparative Study Alexander Sherstov and Peter Stone In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theori... 2005
Function Approximation via Tile Coding: Automating Parameter Choice Alexander A. Sherstov and Peter Stone In J.-D. Zucker and I. Saitta, editors, SARA 2005, Lecture Notes in Artificial Intelligence, ... 2005
A Model-Based Approach to Robot Joint Control Daniel Stronger and Peter Stone In Daniele Nardi and Martin Riedmiller and Claude Sammut, editors, RoboCup-2004: Robot Soccer Wor... 2005
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach Gregory Kuhlmann and Peter Stone and Justin Lallinger In Daniele Nardi and Martin Riedmiller and Claude Sammut, editors, RoboCup-2004: Robot Soccer Wor... 2005
Towards Illumination Invariance in the Legged League Mohan Sridharan and Peter Stone In Daniele Nardi and Martin Riedmiller and Claude Sammut, editors, RoboCup-2004: Robot Soccer Wor... 2005
Autonomous Color Learning on a Mobile Robot Mohan Sridharan and Peter Stone In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005. 2005
Improving Action Selection in MDP's via Knowledge Transfer Alexander A. Sherstov and Peter Stone In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005. 2005
Value Functions for RL-Based Behavior Transfer: A Comparative Study Matthew E. Taylor and Peter Stone and Yaxin Liu In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005. 2005
Real-Time Vision on a Mobile Robot Platform Mohan Sridharan and Peter Stone In IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005. 2005
State Abstraction Discovery from Irrelevant State Variables Nicholas K. Jong and Peter Stone In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, 7... 2005
Continuous Area Sweeping: A Task Definition and Initial Approach Mazda Ahmadi and Peter Stone In The 12th International Conference on Advanced Robotics, July 2005. 2005
Towards Self-Configuring Hardware for Distributed Computer Systems Jonathan Wildstrom, Peter Stone, E. Witchel, Raymond Mooney and M. Dahlin In The Second International Conference on Autonomic Computing, 241-249, June 2005. 2005
Automatic Feature Selection via Neuroevolution Shimon Whiteson and Peter Stone and Kenneth O. Stanley and Risto Miikkulainen and Nate Kohl In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005. 2005
Behavior Transfer for Value-Function-Based Reinforcement Learning Matthew E. Taylor and Peter Stone In Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michae... 2005
Multiagent Traffic Management: An Improved Intersection Control Mechanism Kurt Dresner and Peter Stone In Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michae... 2005
Practical Vision-Based Monte Carlo Localization on a Legged Robot Mohan Sridharan and Gregory Kuhlmann and Peter Stone In IEEE International Conference on Robotics and Automation, April 2005. 2005
Bayesian Models of Nonstationary Markov Decision Problems Nicholas K. Jong and Peter Stone In IJCAI 2005 workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, Augus... 2005
The UT Austin Villa 2005 RoboCup Four-Legged Team Peter Stone and Kurt Dresner and Peggy Fidelman and Nate Kohl and Gregory Kuhlmann and Mohan Sridhar... Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences... 2005
Towards Learning to Ignore Irrelevant State Variables Nicholas K. Jong and Peter Stone In The AAAI-2004 Workshop on Learning and Planning in Markov Processes -- Advances and Challenges... 2004
The Champion UT Austin Villa 2003 Simulator Online Coach Team Gregory Kuhlmann and Peter Stone and Justin Lallinger In RoboCup-2003: Robot Soccer World Cup VII, 2004. 2004
Learning Ball Acquisition on a Physical Robot Peggy Fidelman and Peter Stone In International Symposium on Robotics and Automation (ISRA), 2004. 2004
Adaptive Job Routing and Scheduling Shimon Whiteson and Peter Stone Engineering Applications of Artificial Intelligence, 17(7)(7):855-869, October 2004. Correcte... 2004
Using RoboCup in university-level computer science education Elizabeth Sklar and Simon Parsons and Peter Stone Journal on Educational Resources in Computing, 4(2), June 2004. Special issue on robotics in ... 2004
TacTex-03: A Supply Chain Management Agent David Pardoe and Peter Stone SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, 4(3):19-28, Winter 200... 2004
Two Stock-Trading Agents: Market Making and Technical Analysis Yi Feng and Ronggang Yu and Peter Stone In Peyman Faratin and David C. Parkes and Juan A. Rodriguez-Aguilar and William E. Walsh, editors, <... 2004
RoboCup as an Introduction to CS Research Peter Stone In Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida, editors, RoboCup-2003:... 2004
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism Kurt Dresner and Peter Stone In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, 530-... 2004
Machine Learning for Fast Quadrupedal Locomotion Nate Kohl and Peter Stone In Nineteenth National Conference on Artificial Intelligence, 611-616, July 2004. 2004
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion Nate Kohl and Peter Stone In Proceedings of the {IEEE} International Conference on Robotics and Automation, 2619-2624,... 2004
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer Gregory Kuhlmann, Peter Stone, Raymond J. Mooney, and Jude W. Shavlik In The AAAI-2004 Workshop on Supervisory Control of Learning and Adaptive Systems, July 2004. 2004
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age Peter Stone and Kurt Dresner and Peggy Fidelman and Nicholas K. Jong and Nate Kohl and Gregory Kuhlm... Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences... 2004
Towards Employing PSRs in a Continuous Domain Nicholas K. Jong and Peter Stone Technical Report UT-AI-TR-04-309, The University of Texas at Austin, Department of Computer Sciences... 2004
The UT Austin Villa 2003 Four-Legged Team Peter Stone and Kurt Dresner and Selim T. Erdougan and Peggy Fidelman and Nicholas K. Jong and Nate ... In Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida, editors, RoboCup-2003:... 2004
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions Peter Stone and Robert E. Schapire and Michael L. Littman and J'anos A. Csirik and David McAllester Journal of Artificial Intelligence Research, 19:209-242, 2003. 2003
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research Itsuki Noda and Peter Stone Autonomous Agents and Multi-Agent Systems, 7(1--2):101-120, July--September 2003. 2003
The 2001 Trading Agent Competition Michael P. Wellman and Amy Greenwald and Peter Stone and Peter R. Wurman Electronic Markets, 13(1):4-12, May 2003. 2003
Guest Editors' Introduction: Agents and Markets Amy Greenwald and Nicholas R. Jennings and Peter Stone IEEE Intelligent Systems, 18(6):12-14, November/December 2003. 2003
Multiagent Competitions and Research: Lessons from RoboCup and TAC Peter Stone In Gal A. Kaminka and Pedro U. Lima and Raul Rojas, editors, RoboCup-2002: Robot Soccer World Cup... 2003
Performance Analysis of a Counter-intuitive Automated Stock-Trading Strategy Ronggang Yu and Peter Stone In Proceedings of the Fifth International Conference on Electronic Commerce, Pittsburgh, PA, ... 2003
Learning Predictive State Representations Satinder Singh and Michael L. Littman and Nicholas K. Jong and David Pardoe and Peter Stone In Proceedings of the Twentieth International Conference on Machine Learning, August 2003. 2003
Concurrent Layered Learning Shimon Whiteson and Peter Stone In Jeffrey S. Rosenschein and Tuomas Sandholm and Michael Wooldridge and Makoto Yokoo, editors, {... 2003
UT Austin Villa 2003: A New RoboCup Four-Legged Team Peter Stone and Kurt Dresner and Selim T. Erdougan and Peggy Fidelman and Nicholas K. Jong and Nate ... %RefShort% 2003
Progress in Learning 3 vs. 2 Keepaway Gregory Kuhlmann and Peter Stone In Proceedings of the 2003 IEEE International Conference on Systems, Man & Cybernetics, 2003. 2003
RoboCup-2001: The Fifth Robotic Soccer World Championships Manuela Veloso and Tucker Balch and Peter Stone and Hiroaki Kitano and Fuminori Yamasaki and Ken En... AI Magazine, 23(1):55-68, 2002. 2002
Self-enforcing Strategic Demand Reduction Paul S. A. Reitsma and Peter Stone and J'anos A. Csirik and Michael L. Littman In Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Lecture Notes in ... 2002
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation Robert E. Schapire and Peter Stone and David McAllester and Michael L. Littman and J'anos A. Csirik In Proceedings of the Nineteenth International Conference on Machine Learning, 2002. 2002
Randomized Strategic Demand Reduction: Getting More by Asking for Less Paul S. A. Reitsma and Peter Stone and J'anos A. Csirik and Michael L. Littman In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Sy... 2002
ATTUnited-2001: Using Heterogeneous Players Peter Stone In Andreas Birk and Silvia Coradeschi and Satoshi Tadokoro, editors, RoboCup-2001: Robot Soccer W... 2002
A Social Reinforcement Learning Agent Charles Lee Isbell and Christian R. Shelton and Michael Kearns and Satinder Singh and Peter Stone In Proceedings of the Fifth International Conference on Autonomous Agents, 377--384, 2001. 2001
RoboCup-2000: Robot Soccer World Cup IV Peter Stone and Tucker Balch and Gerhard Kraetzschmar %RefShort% 2001
ATTac-2000: An Adaptive Autonomous Bidding Agent Peter Stone and Michael L. Littman and Satinder Singh and Michael Kearns Journal of Artificial Intelligence Research, 15:189-206, June 2001. 2001
RoboCup-2000: The Fourth Robotic Soccer World Championships Peter Stone and Minoru Asada and Tucker Balch and Raffaelo D'Andrea and Masahiro Fujita and Bernhard... AI Magazine, 22(1), 2001. 2001
Autonomous Bidding Agents in the Trading Agent Competition Amy Greenwald and Peter Stone IEEE Internet Computing, 5(2):52-60, March/April 2001. 2001
Keeping the Ball from CMUnited-99 David McAllester and Peter Stone In Peter Stone and Tucker Balch and Gerhard Kraetzschmar, editors, RoboCup-2000: Robot Soccer Wor... 2001
An Architecture for Action Selection in Robotic Soccer Peter Stone and David McAllester In Elisabeth Andre and Sandip Sen and Claude Frasson and Jörg P. Müller, editors, Proceedings of ... 2001
Cobot in LambdaMOO: A Social Statistics Agent Charles Lee Isbell Jr. and Michael Kearns and Dave Kormann and Satinder Singh and Peter Stone In Proceedings of the Seventeenth National Conference on Artificial Intelligence, 36--41, 200... 2001
Implicit Negotiation in Repeated Games Michael L. Littman and Peter Stone In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languag... 2001
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents J'anos A. Csirik and Michael L. Littman and Satinder Singh and Peter Stone In Ludger Fiege and Gero Mühl and Uwe Wilhelm, editors, Electronic Commerce: Proceedings of the ... 2001
Layered Disclosure: Revealing Agents' Internals Patrick Riley and Peter Stone and Manuela Veloso In C. Castelfranchi and Y. Lesperance, editors, Intelligent Agents VII. Agent Theories, Architect... 2001
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League Patrick Riley and Peter Stone and David McAllester and Manuela Veloso In P. Stone and T. Balch and G. Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV 2001
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer Peter Stone %RefShort% 2000
Multiagent Systems: A survey from a machine learning perspective Peter Stone and Manuela Veloso Autonomous Robots, 8(3):345-383, July 2000. 2000
The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control Manuela Veloso and Peter Stone and Kwun Han Robotics and Autonomous Systems, 29(2-3):133-143, November 2000. 2000
Overview of RoboCup-99 Silvia Coradeschi and Lars Karlsson and Peter Stone and Tucker Balch and Gerhard Kraetzschmar and Mi... AI Magazine, 21(3), 2000. 2000
Layered Learning Peter Stone and Manuela Veloso In Ramon Lopez de Mantaras and Enric Plaza, editors, Machine Learning: ECML 2000 (Proceedings of ... 2000
Defining and Using Ideal Teammate and Opponent Models Peter Stone and Patrick Riley and Manuela Veloso In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intellig... 2000
Defining and Using Ideal Teammate and Opponent Agent Models Peter Stone and Patrick Riley and Manuela Veloso In Proceedings of the Fourth International Conference on Multi-Agent Systems, 2000. 2000
TPOT-RL Applied to Network Routing Peter Stone In Proceedings of the Seventeenth International Conference on Machine Learning, 935-942, 2000... 2000
Layered Extrospection: Why is the agent doing what it's doing? Peter Stone and Patrick Riley and Manuela Veloso In Proceedings of the Fourth International Conference on Autonomous Agents, 2000. 2000
Progress in RoboCup Soccer Research in 2000 M. Asada and A. Birk and E. Pagello and M. Fujita and I. Noda and S. Tadokoro D. Duhaut and P. Ston... In Proceedings of the 2000 International Symposium on Experimental Robotics, 2000. 2000
The CMUnited-99 Champion Simulator Team Peter Stone and Patrick Riley and Manuela Veloso In M. Veloso and E. Pagello and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, L... 2000
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork Peter Stone and Manuela Veloso Artificial Intelligence, 110(2):241-273, June 1999. 1999
Team-Partitioned, Opaque-Transition Reinforcement Learning Peter Stone and Manuela Veloso In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture N... 1999
CMUnited-98: A Team of Robotic Soccer Agents Manuela Veloso and Michael Bowling and Sorin Achim and Kwun Han and Peter Stone In Proceedings of the Eleventh Annual Conference on Innovative Applications of Artificial Intelli... 1999
Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer Manuela Veloso and Peter Stone and Michael Bowling In Paul S. Schenker and Gerard T. McKee, editors, Proceedings of SPIE Sensor Fusion and Decentral... 1999
Anticipation: A Key for Collaboration in a Team of Agents Manuela Veloso and Peter Stone and Michael Bowling In Proceedings of the Third International Conference on Autonomous Agents, 1999. 1999
The CMUnited-98 Champion Small Robot Team Manuela Veloso and Michael Bowling and Sorin Achim and Kwun Han and Peter Stone In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture N... 1999
The CMUnited-98 Champion Simulator Team Peter Stone and Manuela Veloso and Patrick Riley In M. Asada and H. Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in A... 1999
A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server Peter Stone and Manuela Veloso Applied Artificial Intelligence, 12:165-188, 1998. 1998
The RoboCup Physical Agent Challenge: Phase-I Minoru Asada and Yasuo Kuniyoshi and Alexis Drogoul and Hajime Asama and Maja Mataric and Dominique ... Applied Artificial Intelligence, 12:251-263, 1998. 1998
Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer Peter Stone and Manuela Veloso International Journal of Human-Computer Studies, 48(1):83-104, January 1998. 1998
Using Decision Tree Confidence Factors for Multiagent Control Peter Stone and Manuela Veloso In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial... 1998
The CMUnited-97 Simulator Team Peter Stone and Manuela Veloso In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial... 1998
The CMUnited-97 Small-Robot Team Manuela Veloso and Peter Stone and Kwun Han and Sorin Achim In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial... 1998
The RoboCup Synthetic Agent Challenge 97 Hiroaki Kitano and Milind Tambe and Peter Stone and Manuela Veloso and Silvia Coradeschi and Eiichi... In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 24... 1997
Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations Gregg Rabideau and Steve Chien and Peter Stone and Jason Willis and Curt Eggemeyer and Tobias Mann In Proceedings of the 1997 IEEE Aerospace Conference, 325-341, Aspen, CO, February 1997. 1997
User-guided Interleaving of Planning and Execution Peter Stone and Manuela Veloso In M. Ghallab and A. Milani, editors, New Directions in AI Planning, 103-112, 1996. IOS Press... 1996
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function Peter Stone and Manuela Veloso In David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo, editors, Advances in Neural ... 1996
Building a Dedicated Robotic Soccer System Sorin Achim and Peter Stone and Manuela Veloso In Proceedings of the IROS-96 Workshop on RoboCup, 41-48, Osaka, Japan, November 1996. 1996
Predictive Memory for an Inaccessible Environment Mike Bowling and Peter Stone and Manuela Veloso In Proceedings of the IROS-96 Workshop on RoboCup, 28-34, Osaka, Japan, November 1996. 1996
FLECS: Planning with a Flexible Commitment Strategy Manuela Veloso and Peter Stone Journal of Artificial Intelligence Research, 3:25-52, June 1995. 1995
Using Testing to Iteratively Improve Training Peter Stone and Manuela Veloso In Working Notes of the AAAI 1995 Fall Symposium on Active Learning, 110-111, Boston, MA, Nov... 1995
The need for different domain-independent heuristics Peter Stone and Manuela Veloso and Jim Blythe In Proceedings of the Second International Conference on AI Planning Systems, 164-169, June 1... 1994
Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems Peter Stone and Manuela Veloso In Technical Report of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applicat... 1994
Software/Data
TacTex AA Binary The binary version of our 2009 TacTex AA agent, along with many other teams' agents, are available at the ... 2009
TacTex SCM Binaries Binary versions of all TacTex SCM (2005-2008) agents, along with many other teams' agents, are available at the ... 2008
Keepaway player framework source code, version 0.6 The Keepaway player framework is an implementation of all the low- and mid-level keepaway behaviors described in the pub...
Areas of Interest
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