Peter Stone
Faculty
My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. I consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses mainly on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
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Influencing a Flock via Ad Hoc Teamwork 2014
Katie Genter and Peter Stone, In Proceedings of the Ninth International Conference on Swarm Intelligence (ANTS 2014), September 2014.
Mobile Robot Planning using Action Language BC with Hierarchical Domain Abstractions 2014
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone, In The 7th Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP), July 2014.
Modeling Uncertainty in Leading Ad Hoc Teams 2014
Noa Agmon, Samuel Barrett, and Peter Stone, In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014.
Multi-robot Human Guidance using Topological Graphs 2014
Piyush Khandelwal and Peter Stone, In AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS), March 2014.
Multi-robot Human Guidance using Topological Graphs 2014
Piyush Khandelwal and Peter Stone, In AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS), March 2014.
Orienting a Flock via Ad Hoc Teamwork 2014
Katie Genter and Peter Stone, In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 2014.
Planning in Action Language BC while Learning Action Costs for Mobile Robots 2014
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone, In International Conference on Automated Planning and Scheduling (ICAPS), June 2014.
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots 2014
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, and Peter Stone,
TacTex'13: A Champion Adaptive Power Trading Agent 2014
Daniel Urieli and Peter Stone, In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014), July 2014.
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning 2014
Patrick MacAlpine, Eric Price, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Accompanying videos at
A Learning Agent for Heat-Pump Thermostat Control 2013
Daniel Urieli and Peter Stone, In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'13), May 2013.
A Neuroevolution Approach to General Atari Game Playing 2013
Matthew Hausknecht, Joel Lehman, Risto Miikkulainen, and Peter Stone, In IEEE Transactions on Computational Intelligence and AI in Games 2013.
Ad Hoc Teamwork for Leading a Flock 2013
Katie Genter, Noa Agmon, and Peter Stone, In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May 2013.
Auction-based autonomous intersection management 2013
Dustin Carlino, Stephen D. Boyles, and Peter Stone, In Proceedings of the 16th IEEE Intelligent Transportation Systems Conference (ITSC) 2013.
Communicating with Unknown Teammates 2013
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013.
Cooperating with a Markovian Ad Hoc Teammate 2013
Doran Chakraborty and Peter Stone, In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
Humanoid Robots Learning to Walk Faster: From the Real World to Simulation and Back 2013
Alon Farchy, Samuel Barrett, Patrick MacAlpine, and Peter Stone, In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
Improving Efficiency of Leading a Flock in Ad Hoc Teamwork Settings 2013
Katie Genter, Noa Agmon, and Peter Stone, In AAMAS Autonomous Robots and Multirobot Systems (ARMS) Workshop, May 2013.
Learning Exploration Strategies in Model-Based Reinforcement Learning 2013
Todd Hester, Manuel Lopes, and Peter Stone, In The Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
Learning Non-Myopically from Human-Generated Reward 2013
W. Bradley Knox and Peter Stone, In In Proceedings of the International Conference on Intelligent User Interfaces (IUI), March 2013.
Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System 2013
Daniel Urieli and Peter Stone, In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD'13), September 2013.
Multiagent Learning in the Presence of Memory-Bounded Agents 2013
Doran Chakraborty and Peter Stone, Autonomous Agents and Multiagent Systems (JAAMAS) (2013). Springer.
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System 2013
Patrick MacAlpine, Francisco Barrera, and Peter Stone, In {R}obo{C}up-2012: Robot Soccer World Cup {XVI} 2013.
Role-Based Ad Hoc Teamwork 2013
Katie Genter, Noa Agmon, and Peter Stone, In Plan, Activity, and Intent Recognition, Gita Sukthankar (Eds.), Philadelphia, PA, USA 2013. Elsevier.
Simultaneous Learning and Reshaping of an Approximated Optimization Task 2013
Patrick MacAlpine, Elad Liebman, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013.
Targeted Opponent Modeling of Memory-Bounded Agents 2013
Doran Chakraborty and Peter Stone, In Proceedings of the Adaptive Learning Agents Workshop (ALA), May 2013.
Teaching and leading an ad hoc teammate: Collaboration without pre-coordination 2013
Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey R. Rosenschein, and Noa Agmon, Artificial Intelligence (2013). Official version from http://authors.elsevier.com/sd/article/S0004370213000696.
Teamwork with Limited Knowledge of Teammates 2013
Samuel Barrett, Peter Stone, Sarit Kraus, and Avi Rosenfeld, In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence , July 2013.
The 2012 {UT Austin Villa} Code Release 2013
Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter Stone, In {R}obo{C}up-2013: Robot Soccer World Cup {XVII} 2013.
The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots 2013
Todd Hester and Peter Stone, In RoboCup-2013: Robot Soccer World Cup {XVII}, Sven Behnke and Arnoud Visser and Rong Xiong and Manuela Veloso (Eds.) 2013. Springer Verlag.
Training a Robot via Human Feedback: A Case Study 2013
W. Bradley Knox, Peter Stone, and Cynthia Breazeal, In Social Robotics, October 2013.
UT Austin Villa 2012: Standard Platform League World Champions 2013
Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter Stone, In RoboCup-2012: Robot Soccer World Cup {XVI}, Xiaoping Chen and Peter Stone and Luis Enrique Sucar and Tijn Van der Zant (Eds.) 2013. Springer Verlag.
UT Austin Villa 2013: Advances in Vision, Kinematics, and Strategy 2013
Jacob Menashe, Katie Genter, Samuel Barrett, and Peter Stone, In The Eighth Workshop on Humanoid Soccer Robots at Humanoids 2013, October 2013.
UT Austin Villa: RoboCup 2012 3D Simulation League Champion 2013
Patrick MacAlpine, Nick Collins, Adrian Lopez-Mobilia, and Peter Stone, In {R}obo{C}up-2012: Robot Soccer World Cup {XVI}, Xiaoping Chen and Peter Stone and Luis Enrique Sucar and Tijn Van der Zant (Eds.) 2013. Springer Verlag.
A Platform for Evaluating Autonomous Intersection Management Policies 2012
Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au, Peter Stone, Christine Julien, and Sriram Vishwanath, In Proceedings of the {ACM/IEEE} Third International Conference on Cyber-Physical Systems (ICCPS 2012), April 2012.
An Analysis Framework for Ad Hoc Teamwork Tasks 2012
Samuel Barrett and Peter Stone, In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems ({AAMAS} 2012), June 2012.
Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles 2012
Dustin Carlino, Mike Depinet, Piyush Khandelwal, and Peter Stone, In Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC 2012), September 2012.
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition 2012
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, and Peter Stone, In Twenty-Sixth Conference on Artificial Intelligence (AAAI'12), July 2012.
Evasion Planning for Autonomous Vehicles at Intersections 2012
Tsz-Chiu Au, Chien-Liang Fok, Sriram Vishwanath, Christine Julien, and Peter Stone, In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2012.
How Humans Teach Agents: A New Experimental Perspective 2012
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, and Peter Stone, International Journal of Social Robotics, Vol. 4 (2012), pp. 409-421. Springer Netherlands.
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player 2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone, In Genetic and Evolutionary Computation Conference (GECCO) 2012 2012.
Intrinsically Motivated Model Learning for a Developing Curious Agent 2012
Todd Hester and Peter Stone, In Eleventh International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), June 2012.
Intrinsically Motivated Model Learning for a Developing Curious Agent 2012
Todd Hester and Peter Stone, In The Eleventh International Conference on Development and Learning (ICDL), Nov 2012.
Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates 2012
Noa Agmon and Peter Stone, In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
Learning from feedback on actions past and intended 2012
W. Bradley Knox, Cynthia Breazeal, and Peter Stone, In In Proceedings of 7th ACM/IEEE International Conference on Human-Robot Interaction, Late-Breaking Reports Session (HRI 2012), March 2012.
Learning Teammate Models for Ad Hoc Teamwork 2012
Samuel Barrett, Peter Stone, Sarit Kraus, and Avi Rosenfeld, In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012.
On Coordination in Practical Multi-Robot Patrol 2012
Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter Stone, Christine Julien, and Sriram Vishwanath, In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012.
PAC Subset Selection in Stochastioc Multi-armed Bandits 2012
Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, and Peter Stone, In In proceedings of the 29th International Conference on Machine Learning (ICML 2012), June-July 2012.
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks 2012
W. Bradley Knox and Peter Stone, In In Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man), September 2012.
Reinforcement Learning with Human and MDP Reward 2012
W. Bradley Knox and Peter Stone, In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
Role Selection in Ad Hoc Teamwork 2012
Katie Genter, Noa Agmon, and Peter Stone, In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
Setpoint Scheduling for Autonomous Vehicle Controllers 2012
Tsz-Chiu Au, Michael Quinlan, and Peter Stone, In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012.
The Nature of Belief-Directed Exploratory Choice in Human Decision-Making 2012
W. Bradley Knox , A. Ross Otto , Peter Stone , and Bradley Love, Frontiers in Psychology, Vol. 2 (2012). The paper can be accessed at: http://www.frontiersin.org/Journal/Abstract.aspx?s=196&name=cognitive_science&ART_DOI=10.3389/fpsyg.2011.00398.
Using a million cell simulation of the cerebellum: Network scaling and task generality 2012
Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, and Michael D. Mauk, Neural Networks (2012).
Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk 2012
Patrick MacAlpine and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012.
Video: RoboCup Robot Soccer History 1997 - 2011 2012
Manuela Veloso and Peter Stone, In Proceedings of IROS 2012-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012) 2012. Available from http://www.robocup.org/2012/10/robocup-video-finalist-for-best-v...
Austin Villa 2011: Sharing is Caring: Better Awareness through Information Sharing 2012
Samuel Barrett, Katie Genter, Todd Hester, Piyush Khandelwal, Michael Quinlan, Peter Stone, and Mohan Sridharan, Technical Report, Department of Computer Science, The University of Texas at Austin. Tech Report UT-AI-TR-12-01.
RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2012
Todd Hester, Michael Quinlan, and Peter Stone, In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012.
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots 2012
Todd Hester and Peter Stone, Machine Learning (2012).
UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition 2012
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, and Peter Stone, In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'12), June 2012.
Wright Eagle and UT Austin Villa: RoboCup 2011 Simulation League Champions 2012
Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel Urieli, Samuel Barrett, and Peter Stone, In {R}obo{C}up-2011: Robot Soccer World Cup {XV} 2012.
A Low Cost Ground Truth Detection System Using the Kinect 2011
Piyush Khandelwal and Peter Stone, In Proceedings of the RoboCup International Symposium 2011 (RoboCup 2011), July 2011.
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2011
David Pardoe and Peter Stone, In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 2011.
A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2011
Todd Hester, Michael Quinlan, and Peter Stone,
Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards 2011
Samuel Barrett and Peter Stone, In Tenth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2011.
An Introduction to Inter-task Transfer for Reinforcement Learning 2011
Matthew E. Taylor and Peter Stone, AI Magazine, Vol. 32, 1 (2011), pp. 15--34.
Austin Villa 2010 Standard Platform Team Report 2011
Samuel Barrett, Katie Genter, Matthew Hausknecht, Todd Hester, Piyush Khandelwal, Juhyun Lee, Michael Quinlan, Aibo Tian, Peter Stone, and Mohan Sridharan, Technical Report, Department of Computer Science, The University of Texas at Austin. Tech Report UT-AI-TR-11-01.
Autonomous Intersection Management: Multi-Intersection Optimization 2011
Matthew Hausknecht, Tsz-Chiu Au, and Peter Stone, In Proceedings of IROS 2011-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), September 2011.
Characterizing Reinforcement Learning Methods through Parameterized Learning Problems 2011
Shivaram Kalyanakrishnan and Peter Stone, Machine Learning (2011).
Comparing Agents: Success against People in Security Domains 2011
Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, and Peter Stone, In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011.
Dynamic Lane Reversal in Traffic Management 2011
Matthew Hausknecht, Tsz-Chiu Au, Peter Stone, David Fajardo, and Travis Waller, In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), October 2011.
Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain 2011
Samuel Barrett, Peter Stone, and Sarit Kraus, Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011) (2011).
Empowerment for Continuous Agent-Environment Systems 2011
Tobias Jung, Daniel Polani, and Peter Stone, Adaptive Behavior, Vol. 19, 1 (2011), pp. 16-39.
Enforcing Liveness in Autonomous Traffic Management 2011
Tsz-Chiu Au, Neda Shahidi, and Peter Stone, In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, August 2011.
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles 2011
Paul Scerri, Balajee Kannan, Pras Velagapudi, Kate Macarthur, Peter Stone, Matthew E. Taylor, John Dolan, Alessandro Farinelli, Archie Chapman, Bernadine Dias, and George Kantor, In Proceedings of the Autonomous Robots and Multirobot Systems workshop (at AAMAS-11), May 2011.
Learning and Using Models 2011
Todd Hester and Peter Stone, In Reinforcement Learning: State of the Art 2011.
Multiagent Patrol Generalized to Complex Environmental Conditions 2011
Noa Agmon, Daniel Urieli, and Peter Stone, In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI'11), August 2011.
On Learning with Imperfect Representations 2011
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, April 2011.
On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer 2011
Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'11), May 2011.
Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning 2011
Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone, In {IEEE} Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April 2011.
Role-Based Ad Hoc Teamwork 2011
Katie Genter, Noa Agmon, and Peter Stone, In Proceedings of the Plan, Activity, and Intent Recognition Workshop at the Twenty-Fifth Conference on Artificial Intelligence (PAIR-11) , August 2011.
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree 2011
Doran Chakraborty and Peter Stone, In Proceedings of the Twenty Eighth International Conference on Machine Learning (ICML'11), June 2011.
Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report 2011
W. Bradley Knox and Peter Stone, In IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
UT Austin Villa 2011 3D Simulation Team Report 2011
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, and Peter Stone, Technical Report, Department of Computer Science, The University of Texas at Austin.
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2010
David Pardoe and Peter Stone, In EC 2010 Workshop on Trading Agent Design and Analysis (TADA), Cambridge, Massachusetts 2010.
Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge 2010
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak, Informs Journal on Computing, Vol. 22, 3 (2010), pp. 353-370.
Boosting for Regression Transfer 2010
David Pardoe and Peter Stone, In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), June 2010.
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection 2010
Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, and Peter Stone, In Proceedings of IROS 2010-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), October 2010.
Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning 2010
W. Bradley Knox and Peter Stone, In Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
Controlled Kicking under Uncertainty 2010
Samuel Barrett, Katie Genter, Todd Hester, Michael Quinlan, and Peter Stone, In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN 2010.
Convergence, Targeted Optimality and Safety in Multiagent Learning 2010
Doran Chakraborty and Peter Stone, In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010), June 2010.
Efficient Selection of Multiple Bandit Arms: Theory and Practice 2010
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the 27th International Conference on Machine Learning (ICML 2010) 2010.
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration 2010
Tobias Jung and Peter Stone, In Proceedings of the European Conference on Machine Learning, September 2010.
Generalized Model Learning for Reinforcement Learning on a Humanoid Robot 2010
Todd Hester, Michael Quinlan, and Peter Stone, In International Conference on Robotics and Automation 2010.
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker 2010
Matthew Hausknecht and Peter Stone, In Robocup International Symposium 2010.
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training 2010
Adam Setapen, Michael Quinlan, and Peter Stone, In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
Motion Planning Algorithms for Autonomous Intersection Management 2010
Tsz-Chiu Au and Peter Stone, In AAAI 2010 Workshop on Bridging The Gap Between Task And Motion Planning (BTAMP) 2010.
Online Model Learning in Adversarial Markov Decision Processes (Extended Abstract) 2010
Doran Chakraborty and Peter Stone, In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1583–-1584, May 2010.
Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer 2010
Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN 2010.
Real Time Targeted Exploration in Large Domains 2010
Todd Hester and Peter Stone, In Proceedings of the Ninth International Conference on Development and Learning (ICDL 2010), 2010 (Eds.), August 2010.
TacTex09: A Champion Bidding Agent for Ad Auctions 2010
David Pardoe, Doran Chakraborty, and Peter Stone, In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
Transfer Learning for Reinforcement Learning on a Physical Robot 2010
Samuel Barrett, Matthew E. Taylor, and Peter Stone, In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2010.
Vision Calibration and Processing on a Humanoid Soccer Robot 2010
Piyush Khandelwal, Matthew Hausknecht, Juhyun Lee, Aibo Tian, and Peter Stone, In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN 2010.
An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning 2009
Shivaram Kalyanakrishnan and Peter Stone, In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749-756, Richland, SC, May 2009. International Foundation for Autonomous Agents and Multiagent Sy...
An Empirical Comparison of Abstraction in Models of Markov Decision Processes 2009
Todd Hester and Peter Stone, In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, June 2009.
Color Learning and Illumination Invariance on Mobile Robots: A Survey 2009
Mohan Sridharan and Peter Stone, Robotics and Autonomous Systems (RAS) Journal, Vol. 57, 60-7 (2009), pp. 629-44.
Compositional Models for Reinforcement Learning 2009
Nicholas K. Jong and Peter Stone, In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
Connectivity-based Localization in Robot Networks 2009
Tobias Jung, Mazda Ahmadi, and Peter Stone, In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), June 2009.
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning 2009
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Journal of Autonomous Agents and Multi-Agent Systems, Vol. 21, 1 (2009), pp. 1-27.
Design Principles for Creating Human-Shapable Agents 2009
W. Bradley Knox, Ian Fasel, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
Feature Selection for Value Function Approximation Using Bayesian Model Selection 2009
Tobias Jung and Peter Stone, In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
Generalized Domains for Empirical Evaluations in Reinforcement Learning 2009
Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone, In ICML Workshop on Evaluation Methods for Machine Learning, June 2009. To appear..
Generalized Model Learning for Reinforcement Learning in Factored Domains 2009
Todd Hester and Peter Stone, In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2009.
Improving Particle Filter Performance Using SSE Instructions 2009
Peter Djeu, Michael Quinlan, and Peter Stone, In Proceedings of IROS 2009: 2009 IEEE/RSJ International Conference on Intelligent RObots and Systems, October 2009.
Interactively Shaping Agents via Human Reinforcement: The TAMER Framework 2009
W. Bradley Knox and Peter Stone, In The Fifth International Conference on Knowledge Capture, September 2009.
Leading a Best-Response Teammate in an Ad Hoc Team 2009
Peter Stone, Gal A. Kaminka, and Jeffrey S. Rosenschein, In {AAMAS} Workshop on Agent Mediated Electronic Commerce, pp. 153-167, May 2009.
Learning Complementary Multiagent Behaviors: A Case Study 2009
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the RoboCup International Symposium 2009 2009. Springer Verlag.
The UT Austin Villa 3D Simulation Soccer Team 2008 2009
Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, Technical Report AI09-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Three Humanoid Soccer Platforms: Comparison and Synthesis 2009
Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone, In Proceedings of the RoboCup International Symposium 2009 2009. Springer Verlag.
Transfer Learning for Reinforcement Learning Domains: A Survey 2009
Matthew E. Taylor and Peter Stone, Journal of Machine Learning Research, Vol. 10, 1 (2009), pp. 1633-1685.
TT-UT Austin Villa 2009: Naos across Texas 2009
Todd Hester, Michael Quinlan, Peter Stone, and Mohan Sridharan, Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department of Computer Science, AI Laboratory.
A General Purpose Task Specification Language for Bootstrap Learning 2008
Ian Fasel, Michael Quinlan, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2008.
A Multiagent Approach to Autonomous Intersection Management 2008
Kurt Dresner and Peter Stone, Journal of Artificial Intelligence Research, Vol. 31 (2008), pp. 591-656.
A Neural Network-Based Approach to Robot Motion Control 2008
Uli Grasemann, Daniel Stronger, and Peter Stone, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 480-87, Berlin 2008. Springer Verlag.
Autonomous Transfer for Reinforcement Learning 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ 2008
Nicholas K. Jong and Peter Stone, In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
Instance-Based Action Models for Fast Action Planning 2008
Mazda Ahmadi and Peter Stone, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 1-16, Berlin 2008. Springer Verlag.
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee, W. Bradley Knox, and Peter Stone, Journal of Physical Agents, Vol. 2, 2 (2008), pp. 41-50. Special Issue on Human Interaction with Domestic Robots.
Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot 2008
Daniel Stronger and Peter Stone, In IEEE International Conference on Robotics and Automation, May 2008.
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles 2008
Kurt Dresner and Peter Stone, In AAMAS Workshop on Agents in Traffic and Transportation, pp. 78-85, Estoril, Portugal, May 2008.
Model-based Reinforcement Learning in a Complex Domain 2008
Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 171-83, Berlin 2008. Springer Verlag.
Multiagent Interactions in Urban Driving 2008
Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone, Journal of Physical Agents, Vol. 2, 1 (2008), pp. 15-30. Special issue on Multi-Robot Systems.
Negative Information and Line Observations for Monte Carlo Localization 2008
Todd Hester and Peter Stone, In IEEE International Conference on Robotics and Automation, May 2008.
Online Kernel Selection for Bayesian Reinforcement Learning 2008
Joseph Reisinger, Peter Stone, and Risto Miikkulainen, In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
Online Multiagent Learning against Memory Bounded Adversaries 2008
Doran Chakraborty and Peter Stone, In Machine Learning and Knowledge Discovery in Databases, Vol. 5212, pp. 211-26, September 2008.
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents 2008
Daniel Stronger and Peter Stone, International Journal on Artificial Intelligence Tools, Vol. 17, 1 (2008), pp. 159-174.
Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles 2008
Mark VanMiddlesworth, Kurt Dresner, and Peter Stone, In AAMAS Workshop on Agents in Traffic and Transportation, pp. 94-101, Estoril, Portugal, May 2008.
The 2007 TAC SCM Prediction Challenge 2008
David Pardoe and Peter Stone, In AAAI 2008 Workshop on Trading Agent Design and Analysis 2008.
The Utility of Temporal Abstraction in Reinforcement Learning 2008
Nicholas K. Jong, Todd Hester, and Peter Stone, In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
Transfer Learning and Intelligence: an Argument and Approach 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
Transferring Instances for Model-Based Reinforcement Learning 2008
Matthew E. Taylor, Nicholas K. Jong, and Peter Stone, In Machine Learning and Knowledge Discovery in Databases, Vol. 5212, pp. 488-505, September 2008.
UT Austin Villa 2008: Standing on Two Legs 2008
Todd Hester, Michael Quinlan, and Peter Stone, Technical Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot 2007
Daniel Stronger and Peter Stone, In IEEE International Conference on Robotics and Automation, pp. 3915-3920, April 2007.
Accelerating Search with Transferred Heuristics 2007
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In ICAPS-07 workshop on AI Planning and Learning, September 2007.
Action Selection for Illumination Invariant Color Learning 2007
Mohan Sridharan and Peter Stone, In The IEEE International Conference on Intelligent Robots and Systems (IROS) 2007.
Adapting Price Predictions in TAC SCM 2007
David Pardoe and Peter Stone, In AAMAS 2007 Workshop on Agent Mediated Electronic Commerce 2007.
Adaptive Tile Coding for Value Function Approximation 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Technical Report AI-TR-07-339, University of Texas at Austin.
An Autonomous Agent for Supply Chain Management 2007
David Pardoe and Peter Stone, In Handbooks in Information Systems Series: Business Computing, Gedas Adomavicius and Alok Gupta (Eds.), Vol. 3, pp. 141-72 2007. Emerald Group.
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition 2007
Michael P. Wellman, Amy Greenwald, and Peter Stone,
Autonomous Learning of Stable Quadruped Locomotion 2007
Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 98-109, Berlin 2007. Springer Verlag.
Autonomous Return on Investment Analysis of Additional Processing Resources 2007
Jonathan Wildstrom, Peter Stone, and Emmett Witchel, In 2007 Workshop on Adaptive Methods in Autonomic Computing Systems, June 2007.
Batch Reinforcement Learning in a Complex Domain 2007
Shivaram Kalyanakrishnan and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 650-657, New York, NY, USA, May 2007. ACM.
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination 2007
Mohan Sridharan and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 2212-2217, January 2007.
Cross-Domain Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone, In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
DARPA Urban Challenge Technical Report: Austin Robot Technology 2007
Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan, Available from http://www.darpa.mil/grandchallenge/rules.asp.
Empirical Studies in Action Selection for Reinforcement Learning 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Adaptive Behavior, Vol. 15, 1 (2007), pp. 33-50.
General Game Learning using Knowledge Transfer 2007
Bikramjit Banerjee and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 672-677, January 2007.
Graph-Based Domain Mapping for Transfer Learning in General Games 2007
Gregory Kuhlmann and Peter Stone, In Proceedings of the 18th European Conference on Machine Learning, September 2007.
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study 2007
Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 72-85, Berlin 2007. Springer Verlag.
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks 2007
Mazda Ahmadi, Matthew E. Taylor, and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
Intelligent Autonomous Robotics: A Robot Soccer Case Study 2007
Peter Stone,
Learning and Multiagent Reasoning for Autonomous Agents 2007
Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 13-30, January 2007.
Learning Policy Selection for Autonomous Intersection Management 2007
Kurt Dresner and Peter Stone, In AAMAS 2007 Workshop on Adaptive and Learning Agents, pp. 34-39, Honolulu, Hawaii, USA, May 2007.
Machine Learning for On-Line Hardware Reconfiguration 2007
Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin, In The 20th International Joint Conference on Artificial Intelligence, pp. 1113-1118, January 2007.
Model-Based Exploration in Continuous State Spaces 2007
Nicholas K. Jong and Peter Stone, In The Seventh Symposium on Abstraction, Reformulation, and Approximation, July 2007.
Model-Based Function Approximation for Reinforcement Learning 2007
Nicholas K. Jong and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
Multiagent learning is not the answer. It is the question 2007
Peter Stone, Artificial Intelligence, Vol. 171 (2007), pp. 402-05.
Planning Actions to Enable Color Learning on a Mobile Robot 2007
Mohan Sridharan and Peter Stone, International Journal of Information and Systems Sciences, Vol. 3, 3 (2007), pp. 510-25.
Representation Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone, In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
Selective Visual Attention for Object Detection on a Legged Robot 2007
Daniel Stronger and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 158-170, Berlin 2007. Springer Verlag.
Sharing the Road: Autonomous Vehicles meet Human Drivers 2007
Kurt Dresner and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 1263-68, January 2007.
Structure Based Color Learning on a Mobile Robot under Changing Illumination 2007
Mohan Sridharan and Peter Stone, Autonomous Robots, Vol. 23, 3 (2007), pp. 161-182.
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison 2007
Matthew E. Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Twenty-Second Conference on Artificial Intelligence, pp. 1675-1678, July 2007. Nectar Track.
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot 2007
Peggy Fidelman and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 59-71, Berlin 2007. Springer Verlag.
The UT Austin Villa 3D Simulation Soccer Team 2007 2007
Shivaram Kalyanakrishnan and Peter Stone, Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning 2007
Matthew E. Taylor, Peter Stone, and Yaxin Liu, Journal of Machine Learning Research, Vol. 8, 1 (2007), pp. 2125-2167.
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning 2007
Matthew E. Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
A Multi-Robot System for Continuous Area Sweeping Tasks 2006
Mazda Ahmadi and Peter Stone, In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1724-1729, May 2006.
Adapting to Workload Changes Through On-The-Fly Reconfiguration 2006
Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin, Technical Report UT-AI-TR-06-330, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Adaptive Mechanism Design: A Metalearning Approach 2006
David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak, In The Eighth International Conference on Electronic Commerce, pp. 92-102, August 2006.
Automatic Heuristic Construction in a Complete General Game Player 2006
Gregory Kuhlmann, Kurt Dresner, and Peter Stone, In Proceedings of the 21st National Conference on Artificial Intelligence, pp. 1457-62, July 2006.
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data 2006
Mohan Sridharan and Peter Stone, In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2006.
Cobot in LambdaMOO: An Adaptive Social Statistics Agent 2006
Charles Lee Isbell, Michael Kearns, Satinder Singh, Christian Shelton, Peter Stone, and Dave Kormann, Autonomous Agents and Multiagent Systems, Vol. 13, 3 (2006), pp. 36-41.
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321-28, July 2006.
Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms 2006
Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, and Benjamin Kuipers, In Proceedings of the Genetic and Evolutionary Computation Conference, July 2006.
Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone, Journal of Machine Learning Research, Vol. 7 (2006), pp. 877-917.
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty 2006
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong, Robotics and Autonomous Systems, Vol. 54, 11 (2006), pp. 933-43. Special issue on Planning Under Uncertainty in Robotics..
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management 2006
Kurt Dresner and Peter Stone, In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006.
Keepaway Soccer: From Machine Learning Testbed to Benchmark 2006
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu, In RoboCup-2005: Robot Soccer World Cup IX, Itsuki Noda and Adam Jacoff and Ansgar Bredenfeld and Yasutake Takahashi (Eds.), Vol. 4020, pp. 93-105, Berlin 2006. Springer Verlag.
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots 2006
Mazda Ahmadi and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 580-85, July 2006.
Know Thine Enemy: A Champion RoboCup Coach Agent 2006
Gregory Kuhlmann, William B. Knox, and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463-68, July 2006.
Multiagent Traffic Management: Opportunities for Multiagent Learning 2006
Kurt Dresner and Peter Stone, In LAMAS 2005, K. Tuyls et al. (Eds.), Vol. 3898, pp. 129-138, Berlin 2006. Springer Verlag.
On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains 2006
Shimon Whiteson and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577-84, July 2006.
Predictive Planning for Supply Chain Management 2006
David Pardoe and Peter Stone, In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006.
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone, In {AAAI} 2006: {P}roceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518-523, July 2006.
TacTex-2005: A Champion Supply Chain Management Agent 2006
David Pardoe and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1489-94, July 2006.
The UT Austin Villa 2006 RoboCup Four-Legged Team 2006
Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharan, and Shao-en Yu, Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot 2006
Daniel Stronger and Peter Stone, Connection Science, Vol. 18, 2 (2006), pp. 97-119. Special Issue on Developmental Robotics..
Value Function Transfer for General Game Playing 2006
Bikramjit Banerjee, Gregory Kuhlmann, and Peter Stone, In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006.
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping 2006
Yaxin Liu and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 415-20, July 2006.
A Model-Based Approach to Robot Joint Control 2005
Daniel Stronger and Peter Stone, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 297-309, Berlin 2005. Springer Verlag.
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone, Decision Support Systems, Vol. 39 (2005), pp. 55-66.
Automatic Feature Selection via Neuroevolution 2005
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl, In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
Autonomous Color Learning on a Mobile Robot 2005
Mohan Sridharan and Peter Stone, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Bayesian Models of Nonstationary Markov Decision Problems 2005
Nicholas K. Jong and Peter Stone, In IJCAI 2005 workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, August 2005.
Behavior Transfer for Value-Function-Based Reinforcement Learning 2005
Matthew E. Taylor and Peter Stone, In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michael Woo...
Bidding for Customer Orders in TAC SCM 2005
David Pardoe and Peter Stone, In Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), P. Faratin and J.A. Rodriguez-Aguilar (Eds.), Vol. 3435, pp. 143-157, ...
Continuous Area Sweeping: A Task Definition and Initial Approach 2005
Mazda Ahmadi and Peter Stone, In The 12th International Conference on Advanced Robotics, July 2005.
Developing Adaptive Auction Mechanisms 2005
David Pardoe and Peter Stone, SIGecom Exchanges, Vol. 5, 3 (2005), pp. 1-10.
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone, Machine Learning, Vol. 59, 1 (2005), pp. 5-30.
Function Approximation via Tile Coding: Automating Parameter Choice 2005
Alexander A. Sherstov and Peter Stone, In SARA 2005, J.-D. Zucker and I. Saitta (Eds.), Vol. 3607, pp. 194-205, Berlin 2005. Springer Verlag.
Improving Action Selection in MDP's via Knowledge Transfer 2005
Alexander A. Sherstov and Peter Stone, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Multiagent Traffic Management: An Improved Intersection Control Mechanism 2005
Kurt Dresner and Peter Stone, In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michael Woo...
Practical Vision-Based Monte Carlo Localization on a Legged Robot 2005
Mohan Sridharan, Gregory Kuhlmann, and Peter Stone, In IEEE International Conference on Robotics and Automation, April 2005.
Real-Time Vision on a Mobile Robot Platform 2005
Mohan Sridharan and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005.
Reinforcement Learning for RoboCup-Soccer Keepaway 2005
Peter Stone, Richard S. Sutton, and Gregory Kuhlmann, Adaptive Behavior, Vol. 13, 3 (2005), pp. 165-188.
State Abstraction Discovery from Irrelevant State Variables 2005
Nicholas K. Jong and Peter Stone, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, pp. 752-757, August 2005.
The First International Trading Agent Competition: Autonomous Bidding Agents 2005
Peter Stone and Amy Greenwald, Electronic Commerce Research, Vol. 5, 2 (2005), pp. 229-65.
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach 2005
Gregory Kuhlmann, Peter Stone, and Justin Lallinger, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 636-644, Berlin 2005. Springer Verlag.
The UT Austin Villa 2005 RoboCup Four-Legged Team 2005
Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Three Automated Stock-Trading Agents: A Comparative Study 2005
Alexander Sherstov and Peter Stone, In Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), P. Faratin and J.A. Rodriguez-Aguilar (Eds.), Vol. 3435, pp. 173-187, ...
Towards Illumination Invariance in the Legged League 2005
Mohan Sridharan and Peter Stone, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 196-208, Berlin 2005. Springer Verlag.
Towards Self-Configuring Hardware for Distributed Computer Systems 2005
Jonathan Wildstrom, Peter Stone, E. Witchel, Raymond Mooney and M. Dahlin, In The Second International Conference on Autonomic Computing, pp. 241-249, June 2005.
Value Functions for RL-Based Behavior Transfer: A Comparative Study 2005
Matthew E. Taylor, Peter Stone, and Yaxin Liu, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Adaptive Job Routing and Scheduling 2004
Shimon Whiteson and Peter Stone, Engineering Applications of Artificial Intelligence, Vol. 17(7), 7 (2004), pp. 855-869. Corrected version.
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer 2004
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.
Learning Ball Acquisition on a Physical Robot 2004
Peggy Fidelman and Peter Stone, In International Symposium on Robotics and Automation (ISRA) 2004.
Machine Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Nineteenth National Conference on Artificial Intelligence, pp. 611-616, July 2004.
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism 2004
Kurt Dresner and Peter Stone, In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530-537, July 2004.
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Proceedings of the {IEEE} International Conference on Robotics and Automation, pp. 2619-2624, May 2004.
RoboCup as an Introduction to CS Research 2004
Peter Stone, In RoboCup-2003: Robot Soccer World Cup VII, Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida (Eds.), Vol. 3020, pp. 284-95, Berlin 2004. Springer Verlag.
TacTex-03: A Supply Chain Management Agent 2004
David Pardoe and Peter Stone, SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, Vol. 4, 3 (2004), pp. 19-28.
The Champion UT Austin Villa 2003 Simulator Online Coach Team 2004
Gregory Kuhlmann, Peter Stone, and Justin Lallinger, In RoboCup-2003: Robot Soccer World Cup VII 2004.
The UT Austin Villa 2003 Four-Legged Team 2004
Peter Stone, Kurt Dresner, Selim T. Erdougan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan, In RoboCup-2003: Robot Soccer World Cup VII, Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida (Eds.), Berlin 2004. Springer Verlag.
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age 2004
Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Towards Employing PSRs in a Continuous Domain 2004
Nicholas K. Jong and Peter Stone, Technical Report UT-AI-TR-04-309, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Towards Learning to Ignore Irrelevant State Variables 2004
Nicholas K. Jong and Peter Stone, In The AAAI-2004 Workshop on Learning and Planning in Markov Processes -- Advances and Challenges 2004.
Two Stock-Trading Agents: Market Making and Technical Analysis 2004
Yi Feng, Ronggang Yu, and Peter Stone, In Agent Mediated Electronic Commerce V: Designing Mechanisms and Systems, Peyman Faratin and David C. Parkes and Juan A. Rodriguez-Aguilar and William E. Walsh (Eds.), Vol. 3048, pp. 18-36 200...
Using RoboCup in university-level computer science education 2004
Elizabeth Sklar, Simon Parsons, and Peter Stone, Journal on Educational Resources in Computing, Vol. 4, 2 (2004). Special issue on robotics in undergraduate education. Part 1.
Concurrent Layered Learning 2003
Shimon Whiteson and Peter Stone, In {AAMAS} 2003: {P}roceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Jeffrey S. Rosenschein and Tuomas Sandholm and Michael Wooldridge and...
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions 2003
Peter Stone, Robert E. Schapire, Michael L. Littman, J'anos A. Csirik, and David McAllester, Journal of Artificial Intelligence Research, Vol. 19 (2003), pp. 209-242.
Guest Editors' Introduction: Agents and Markets 2003
Amy Greenwald, Nicholas R. Jennings, and Peter Stone, IEEE Intelligent Systems, Vol. 18, 6 (2003), pp. 12-14.
Learning Predictive State Representations 2003
Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, and Peter Stone, In Proceedings of the Twentieth International Conference on Machine Learning, August 2003.
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone, In RoboCup-2002: Robot Soccer World Cup VI, Gal A. Kaminka and Pedro U. Lima and Raul Rojas (Eds.), Vol. 2752, pp. 224-237, Berlin 2003. Springer Verlag.
Performance Analysis of a Counter-intuitive Automated Stock-Trading Strategy 2003
Ronggang Yu and Peter Stone, In Proceedings of the Fifth International Conference on Electronic Commerce, Pittsburgh, PA, October 2003.
The 2001 Trading Agent Competition 2003
Michael P. Wellman, Amy Greenwald, Peter Stone, and Peter R. Wurman, Electronic Markets, Vol. 13, 1 (2003), pp. 4-12.
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research 2003
Itsuki Noda and Peter Stone, Autonomous Agents and Multi-Agent Systems, Vol. 7, 1--2 (2003), pp. 101-120.
ATTUnited-2001: Using Heterogeneous Players 2002
Peter Stone, In RoboCup-2001: Robot Soccer World Cup V, Andreas Birk and Silvia Coradeschi and Satoshi Tadokoro (Eds.), Vol. 2377, pp. 495-98, Berlin 2002. Springer Verlag.
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation 2002
Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and J'anos A. Csirik, In Proceedings of the Nineteenth International Conference on Machine Learning 2002.
Self-enforcing Strategic Demand Reduction 2002
Paul S. A. Reitsma, Peter Stone, J'anos A. Csirik, and Michael L. Littman, In Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Vol. 2531, pp. 289-306 2002. Springer Verlag.
A Social Reinforcement Learning Agent 2001
Charles Lee Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone, In Proceedings of the Fifth International Conference on Autonomous Agents, pp. 377--384 2001.
An Architecture for Action Selection in Robotic Soccer 2001
Peter Stone and David McAllester, In Proceedings of the Fifth International Conference on Autonomous Agents, Elisabeth Andre and Sandip Sen and Claude Frasson and Jörg P. Müller (Eds.), pp. 316-323, New York, NY 2001. ACM Pres...
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League 2001
Patrick Riley, Peter Stone, David McAllester, and Manuela Veloso, In RoboCup-2000: Robot Soccer World Cup IV, P. Stone and T. Balch and G. Kraetzschmar (Eds.), Vol. 2019, Berlin 2001. Springer Verlag.
ATTac-2000: An Adaptive Autonomous Bidding Agent 2001
Peter Stone, Michael L. Littman, Satinder Singh, and Michael Kearns, Journal of Artificial Intelligence Research, Vol. 15 (2001), pp. 189-206.
Autonomous Bidding Agents in the Trading Agent Competition 2001
Amy Greenwald and Peter Stone, IEEE Internet Computing, Vol. 5, 2 (2001), pp. 52-60.
Cobot in LambdaMOO: A Social Statistics Agent 2001
Charles Lee Isbell Jr., Michael Kearns, Dave Kormann, Satinder Singh, and Peter Stone, In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 36--41 2001.
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents 2001
J'anos A. Csirik, Michael L. Littman, Satinder Singh, and Peter Stone, In Electronic Commerce: Proceedings of the Second International Workshop, Ludger Fiege and Gero Mühl and Uwe Wilhelm (Eds.), pp. 139-151, Heidelberg, Germany 2001. Springer Verlag.
Implicit Negotiation in Repeated Games 2001
Michael L. Littman and Peter Stone, In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 393-404, August 2001.
Keeping the Ball from CMUnited-99 2001
David McAllester and Peter Stone, In RoboCup-2000: Robot Soccer World Cup IV, Peter Stone and Tucker Balch and Gerhard Kraetzschmar (Eds.), Vol. 2019, pp. 333-338, Berlin 2001. Springer Verlag.
Layered Disclosure: Revealing Agents' Internals 2001
Patrick Riley, Peter Stone, and Manuela Veloso, In Intelligent Agents VII. Agent Theories, Architectures, and Languages --- 7th.~International Workshop, ATAL-2000, Boston, MA, USA, July 7--9, 2000, Proceedings, C. Castelfranchi and Y. Lesper...
RoboCup-2000: The Fourth Robotic Soccer World Championships 2001
Peter Stone, Minoru Asada, Tucker Balch, Raffaelo D'Andrea, Masahiro Fujita, Bernhard Hengst, Gerhard Kraetzschmar, Pedro Lima, Nuno Lau, Henrik Lund, Daniel Polani, Paul Scerri, Satoshi Tadokoro, Thilo Weigel, and Gordon Wyeth, AI Magazine, Vol. 22, 1 (2001).
Defining and Using Ideal Teammate and Opponent Models 2000
Peter Stone, Patrick Riley, and Manuela Veloso, In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence 2000.
Layered Learning 2000
Peter Stone and Manuela Veloso, In Machine Learning: ECML 2000 (Proceedings of the Eleventh European Conference on Machine Learning), Ramon Lopez de Mantaras and Enric Plaza (Eds.), pp. 369-381, Barcelona,Catalonia,Spain, May...
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer 2000
Peter Stone,
Multiagent Systems: A survey from a machine learning perspective 2000
Peter Stone and Manuela Veloso, Autonomous Robots, Vol. 8, 3 (2000), pp. 345-383.
Overview of RoboCup-99 2000
Silvia Coradeschi, Lars Karlsson, Peter Stone, Tucker Balch, Gerhard Kraetzschmar, and Minoru Asada, AI Magazine, Vol. 21, 3 (2000).
The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control 2000
Manuela Veloso, Peter Stone, and Kwun Han, Robotics and Autonomous Systems, Vol. 29, 2-3 (2000), pp. 133-143.
The CMUnited-99 Champion Simulator Team 2000
Peter Stone, Patrick Riley, and Manuela Veloso, In RoboCup-99: Robot Soccer World Cup III, M. Veloso and E. Pagello and H. Kitano (Eds.), Vol. 1856, pp. 35-48, Berlin 2000. Springer Verlag.
TPOT-RL Applied to Network Routing 2000
Peter Stone, In Proceedings of the Seventeenth International Conference on Machine Learning, pp. 935-942 2000.
Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer 1999
Manuela Veloso, Peter Stone, and Michael Bowling, In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, Paul S. Schenker and Gerard T. McKee (Eds.), Vol. 3839, pp. 134-143, Bellingham, WA, September 1999. SPIE.
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork 1999
Peter Stone and Manuela Veloso, Artificial Intelligence, Vol. 110, 2 (1999), pp. 241-273.
Team-Partitioned, Opaque-Transition Reinforcement Learning 1999
Peter Stone and Manuela Veloso, In RoboCup-98: Robot Soccer World Cup II, Minoru Asada and Hiroaki Kitano (Eds.), Vol. 1604, pp. 261-72, Berlin 1999. Springer Verlag. Also in Proceedings of the Third International Confe...
The CMUnited-98 Champion Simulator Team 1999
Peter Stone, Manuela Veloso, and Patrick Riley, In RoboCup-98: Robot Soccer World Cup II, M. Asada and H. Kitano (Eds.), Vol. 1604, pp. 61-76 1999. Springer Verlag.
The CMUnited-98 Champion Small Robot Team 1999
Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone, In RoboCup-98: Robot Soccer World Cup II, Minoru Asada and Hiroaki Kitano (Eds.), Vol. 1604, pp. 77-92, Berlin 1999. Springer Verlag.
A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server 1998
Peter Stone and Manuela Veloso, Applied Artificial Intelligence, Vol. 12 (1998), pp. 165-188.
The CMUnited-97 Simulator Team 1998
Peter Stone and Manuela Veloso, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 387-397, Berlin 1998. Springer Verlag.
The CMUnited-97 Small-Robot Team 1998
Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 242-256, Berlin 1998. Springer Verlag.
The RoboCup Physical Agent Challenge: Phase-I 1998
Minoru Asada, Yasuo Kuniyoshi, Alexis Drogoul, Hajime Asama, Maja Mataric, Dominique Duhaut, Peter Stone, and Hiroaki Kitano, Applied Artificial Intelligence, Vol. 12 (1998), pp. 251-263.
Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer 1998
Peter Stone and Manuela Veloso, International Journal of Human-Computer Studies, Vol. 48, 1 (1998), pp. 83-104.
Using Decision Tree Confidence Factors for Multiagent Control 1998
Peter Stone and Manuela Veloso, In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano (Eds.), Vol. 1395, pp. 99-111, Berlin 1998. Springer Verlag.
Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations 1997
Gregg Rabideau, Steve Chien, Peter Stone, Jason Willis, Curt Eggemeyer, and Tobias Mann, In Proceedings of the 1997 IEEE Aerospace Conference, pp. 325-341, Aspen, CO, February 1997.
The RoboCup Synthetic Agent Challenge 97 1997
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada, In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pp. 24-29, San Francisco, CA 1997. Morgan Kaufmann.
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function 1996
Peter Stone and Manuela Veloso, In Advances in Neural Information Processing Systems 8, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 896-902, Cambridge, MA 1996. MIT Press.
Building a Dedicated Robotic Soccer System 1996
Sorin Achim, Peter Stone, and Manuela Veloso, In Proceedings of the IROS-96 Workshop on RoboCup, pp. 41-48, Osaka, Japan, November 1996.
Predictive Memory for an Inaccessible Environment 1996
Mike Bowling, Peter Stone, and Manuela Veloso, In Proceedings of the IROS-96 Workshop on RoboCup, pp. 28-34, Osaka, Japan, November 1996.
User-guided Interleaving of Planning and Execution 1996
Peter Stone and Manuela Veloso, In New Directions in AI Planning, M. Ghallab and A. Milani (Eds.), pp. 103-112 1996. IOS Press.
FLECS: Planning with a Flexible Commitment Strategy 1995
Manuela Veloso and Peter Stone, Journal of Artificial Intelligence Research, Vol. 3 (1995), pp. 25-52.
Using Testing to Iteratively Improve Training 1995
Peter Stone and Manuela Veloso, In Working Notes of the AAAI 1995 Fall Symposium on Active Learning, pp. 110-111, Boston, MA, November 1995.
Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems 1994
Peter Stone and Manuela Veloso, In Technical Report of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applications, pp. 137-141, New Orleans, LA, November 1994.
The need for different domain-independent heuristics 1994
Peter Stone, Manuela Veloso, and Jim Blythe, In Proceedings of the Second International Conference on AI Planning Systems, pp. 164-169, June 1994.
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...

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