Peter Stone's Selected Publications

• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •

Sorted by First Author Last Name

• Achim • Agmon • Ahmadi • Asada • Au • Banerjee • Barrett • Beeson • Bowling • Chakraborty • Coradeschi • Csirik • Djeu • Dresner • Fajardo • Fasel • Feng • Fidelman • Genter • Grasemann • Greenwald • Hausknecht • Hester • Isbell • Jong • Jung • Kalyanakrishnan • Khandelwal • Kitano • Knox • Kohl • Kuhlmann • Lee • Lin • Littman • Liu • MacAlpine • McAllester • Noda • Pardoe • Quinlan • Rabideau • Reisinger • Reitsma • Riley • Saggar • Scerri • Schapire • Setapen • Sherstov • Singh • Sklar • Sridharan • Stone • Stronger • Subramanian • Taylor • Tumer • Urieli • VanMiddlesworth • Veloso • Wellman • Whiteson • Wildstrom • Yu •

Achim

• Sorin Achim, Peter Stone, and Manuela Veloso. Building a Dedicated Robotic Soccer System. In Proceedings of the IROS-96 Workshop on RoboCup, pp. 41–48, Osaka, Japan, November 1996.
  HTML version.
  Details     BibTeX     Download: [pdf] (159.4kB )  [ps] (336.0kB )  

Agmon

• Noa Agmon and Peter Stone. Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates. In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
  Details     BibTeX     Download: [pdf] (229.4kB )  [ps] (757.7kB )  

• Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter Stone, Christine Julien, and Sriram Vishwanath. On Coordination in Practical Multi-Robot Patrol. In IEEE International Conference on Robotics and Automation (ICRA), May 2012.
  Details     BibTeX     Download: [pdf] (412.4kB )  [ps] (5.4MB )  

• Noa Agmon, Daniel Urieli, and Peter Stone. Multiagent Patrol Generalized to Complex Environmental Conditions. In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, August 2011.
  Details     BibTeX     Download: [pdf] (323.8kB )  [ps] (1.9MB )  

Ahmadi

• Mazda Ahmadi and Peter Stone. Instance-Based Action Models for Fast Action Planning. In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 1–16, Springer Verlag, Berlin, 2008.
  BEST PAPER AWARD WINNER at RoboCup International Symposium.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (466.3kB )  [ps] (3.0MB )  

• Mazda Ahmadi, Matthew E. Taylor, and Peter Stone. IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  BEST PAPER AWARD NOMINEE.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (261.6kB )  [ps] (1.0MB )  

• Mazda Ahmadi and Peter Stone. Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 580–85, July 2006.
  AAAI 2006.
  Additional details on the distributed "biconnected check" can be found in Keeping in Touch: A Distributed Check for Biconnected Structure by Homogeneous Robots in the 2006 International Symposium on Distributed Autonomous Robotic Systems (DARS 2006).
  Details     BibTeX     Download: [pdf] (105.0kB )  [ps] (128.8kB )  

• Mazda Ahmadi and Peter Stone. A Multi-Robot System for Continuous Area Sweeping Tasks. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1724–1729, May 2006.
  Some videos of the robot referenced in the paper.
  ICRA 2006
  Details     BibTeX     Download: [pdf] (171.3kB )  [ps] (314.6kB )  

• Mazda Ahmadi and Peter Stone. Continuous Area Sweeping: A Task Definition and Initial Approach. In The 12th International Conference on Advanced Robotics, July 2005.
  Some videos of the robot referenced in the paper.
  ICAR 2005
  Details     BibTeX     Download: [pdf] (186.7kB )  [ps] (243.1kB )  

Asada

• Minoru Asada, Yasuo Kuniyoshi, Alexis Drogoul, Hajime Asama, Maja Mataric, Dominique Duhaut, Peter Stone, and Hiroaki Kitano. The RoboCup Physical Agent Challenge: Phase-I. Applied Artificial Intelligence, 12:251–263, 1998.
  HTML version.
  Details     BibTeX     Download: [pdf] (131.6kB )  [ps] (97.0kB )  

Au

• Tsz-Chiu Au, Michael Quinlan, and Peter Stone. Setpoint Scheduling for Autonomous Vehicle Controllers. In Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2012), May 2012.
  Details     BibTeX     Download: [pdf] (684.9kB )  [ps] (2.7MB )  

• Tsz-Chiu Au, Neda Shahidi, and Peter Stone. Enforcing Liveness in Autonomous Traffic Management. In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, August 2011.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (31.7MB )  

• Tsz-Chiu Au and Peter Stone. Motion Planning Algorithms for Autonomous Intersection Management. In AAAI 2010 Workshop on Bridging The Gap Between Task And Motion Planning (BTAMP), 2010.
  Details     BibTeX     Download: [pdf] (417.4kB )  [ps] (2.0MB )  

Banerjee

• Bikramjit Banerjee and Peter Stone. General Game Learning using Knowledge Transfer. In The 20th International Joint Conference on Artificial Intelligence, pp. 672–677, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (118.1kB )  [ps] (198.5kB )  

• Bikramjit Banerjee, Gregory Kuhlmann, and Peter Stone. Value Function Transfer for General Game Playing. In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006.
  ICML 2006 workshop on Structural Knowledge Transfer for Machine Learning
  Details     BibTeX     Download: [pdf] (172.9kB )  [ps] (464.0kB )  

Barrett

• Samuel Barrett and Peter Stone. An Analysis Framework for Ad Hoc Teamwork Tasks. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
  Details     BibTeX     Download: [pdf] (177.6kB )  [ps] (1.1MB )  

• Samuel Barrett, Peter Stone, and Sarit Kraus. Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain. In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 2011.
  Details     BibTeX     Download: [pdf] (361.8kB )  [ps] (11.4MB )  

• Samuel Barrett and Peter Stone. Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards. In Tenth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2011.
  Details     BibTeX     Download: [pdf] (136.1kB )  [ps] (384.8kB )  

• Samuel Barrett, Katie Genter, Todd Hester, Michael Quinlan, and Peter Stone. Controlled Kicking under Uncertainty. In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, December 2010.
  Details     BibTeX     Download: [pdf] (357.3kB )  [ps] (17.7MB )  

• Samuel Barrett, Matt E. Taylor, and Peter Stone. Transfer Learning for Reinforcement Learning on a Physical Robot. In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2010.
  AAMAS ALA 2010
  Details     BibTeX     Download: [pdf] (688.8kB )  [ps] (5.7MB )  

• Samuel Barrett, Katie Genter, Todd Hester, Piyush Khandelwal, Michael Quinlan, Peter Stone, and Mohan Sridharan. Austin Villa 2011: Sharing is Caring: Better Awareness through Information Sharing. Technical Report UT-AI-TR-12-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2012.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (32.8MB )  

• Samuel Barrett, Katie Genter, Matthew Hausknecht, Todd Hester, Piyush Khandelwal, Juhyun Lee, Michael Quinlan, Aibo Tian, Peter Stone, and Mohan Sridharan. Austin Villa 2010 Standard Platform Team Report. Technical Report UT-AI-TR-11-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2011.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (38.0MB )  

Beeson

• Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone. Multiagent Interactions in Urban Driving. Journal of Physical Agents, 2(1):15–30, March 2008. Special issue on Multi-Robot Systems
  JoPhA
  Details     BibTeX     Download: [pdf] (2.1MB )  [ps] (6.6MB )  

Bowling

• Mike Bowling, Peter Stone, and Manuela Veloso. Predictive Memory for an Inaccessible Environment. In Proceedings of the IROS-96 Workshop on RoboCup, pp. 28–34, Osaka, Japan, November 1996.
  HTML version.
  Details     BibTeX     Download: [pdf] (135.0kB )  [ps] (141.4kB )  

Chakraborty

• Doran Chakraborty and Peter Stone. Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. In Proceedings of the Twenty Eighth International Conference on Machine Learning (ICML'11), 2011.
  Details     BibTeX     Download: [pdf] (222.8kB )  [ps] (521.1kB )  

• Doran Chakraborty and Peter Stone. Convergence, Targeted Optimality and Safety in Multiagent Learning. In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010), June 2010.
  Details     BibTeX     Download: [pdf] (196.9kB )  [ps] (474.1kB )  

• Doran Chakraborty and Peter Stone. Online Multiagent Learning against Memory Bounded Adversaries. In Machine Learning and Knowledge Discovery in Databases, pp. 211–26, September 2008.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (232.4kB )  [ps] (669.2kB )  

Coradeschi

• Silvia Coradeschi, Lars Karlsson, Peter Stone, Tucker Balch, Gerhard Kraetzschmar, and Minoru Asada. Overview of RoboCup-99. AI Magazine, 21(3), 2000.
  Details     BibTeX     Download: [ps] (2.2MB )  

Csirik

• János A. Csirik, Michael L. Littman, Satinder Singh, and Peter Stone. FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents. In Electronic Commerce: Proceedings of the Second International Workshop, pp. 139–151, Springer Verlag, Heidelberg, Germany, 2001.
  WELCOM-01
  Details     BibTeX     Download: [pdf] (202.3kB )  [ps] (170.8kB )  

Djeu

• Peter Djeu, Michael Quinlan, and Peter Stone. Improving Particle Filter Performance Using SSE Instructions. In Proceedings of IROS 2009: 2009 IEEE/RSJ International Conference on Intelligent RObots and Systems, October 2009.
  Details     BibTeX     Download: [pdf] (176.8kB )  [ps] (2.7MB )  

Dresner

• Kurt Dresner and Peter Stone. A Multiagent Approach to Autonomous Intersection Management. Journal of Artificial Intelligence Research, 31:591–656, March 2008.
  Available from journal's web page.
  View this abstract in Romanian courtesy of azoft.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (2.2MB )  

• Kurt Dresner and Peter Stone. Multiagent Traffic Management: Opportunities for Multiagent Learning. In K. Tuyls et al., editors, LAMAS 2005, Lecture Notes in Artificial Intelligence, pp. 129–138, Springer Verlag, Berlin, 2006.
  LAMAS-05.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (81.4kB )  [ps] (168.2kB )  

• Kurt Dresner and Peter Stone. Sharing the Road: Autonomous Vehicles meet Human Drivers. In The 20th International Joint Conference on Artificial Intelligence, pp. 1263–68, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (189.9kB )  [ps] (287.7kB )  

• Kurt Dresner and Peter Stone. Multiagent Traffic Management: An Improved Intersection Control Mechanism. In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, ACM Press, New York, NY, July 2005.
  Some videos referenced in the paper. The main project page
  Extended version citable as University of Texas at Austin AI lab technical report number UT-AI-TR-04-315
  AAMAS-2005
  Details     BibTeX     Download: [pdf] (143.5kB )  [ps] (216.7kB )  

• Kurt Dresner and Peter Stone. Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530–537, July 2004.
  Some simulations of cars driving through intersections referenced in the paper. The main project page
  AAMAS-2004
  Details     BibTeX     Download: [pdf] (233.8kB )  [ps] (492.0kB )  

• Kurt Dresner and Peter Stone. Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles. In AAMAS Workshop on Agents in Traffic and Transportation, pp. 78–85, Estoril, Portugal, May 2008.
  Details     BibTeX     Download: [pdf] (836.3kB )  [ps] (1.3MB )  

• Kurt Dresner and Peter Stone. Learning Policy Selection for Autonomous Intersection Management. In AAMAS 2007 Workshop on Adaptive and Learning Agents, pp. 34–39, Honolulu, Hawaii, USA, May 2007.
  Details     BibTeX     Download: [pdf] (79.9kB )  [ps] (197.6kB )  

• Kurt Dresner and Peter Stone. Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management. In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006.
  ATT 2006.
  The project page with videos from the paper.
  Details     BibTeX     Download: [pdf] (227.5kB )  [ps] (376.8kB )  

Fajardo

• David Fajardo, Tsz-Chiu Au, Travis Waller, Peter Stone, and David Yang. Automated Intersection Control: Performance of a Future Innovation Versus Current Traffic Signal Control. Transportation Research Record (TRR), 2011. To appear.
  Details     BibTeX     Download: (unavailable)

Fasel

• Ian Fasel, Michael Quinlan, and Peter Stone. A Task Specification Language for Bootstrap Learning. In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
  AAAI Spring 2009 Symposium: Agents that Learn from Human Teachers
  Details     BibTeX     Download: [pdf] (407.2kB )  [ps] (1.9MB )  

Feng

• Yi Feng, Ronggang Yu, and Peter Stone. Two Stock-Trading Agents: Market Making and Technical Analysis. In Peyman Faratin, David C. Parkes, Juan A. Rodriguez-Aguilar, and William E. Walsh, editors, Agent Mediated Electronic Commerce V: Designing Mechanisms and Systems, Lecture Notes in Artificial Intelligence, pp. 18–36, Springer Verlag, 2004.
  AMEC-2003
  Details     BibTeX     Download: [pdf] (512.0kB )  [ps] (912.4kB )  

Fidelman

• Peggy Fidelman and Peter Stone. The Chin Pinch: A Case Study in Skill Learning on a Legged Robot. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 59–71, Springer Verlag, Berlin, 2007.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (186.9kB )  [ps] (1.6MB )  

Genter

• Katie Genter, Noa Agmon, and Peter Stone. Role-Based Ad Hoc Teamwork. In Proceedings of the Plan, Activity, and Intent Recognition Workshop at the Twenty-Fifth Conference on Artificial Intelligence (PAIR-11), August 2011.
  Details     BibTeX     Download: [pdf] (241.1kB )  [ps] (609.1kB )  

Grasemann

• Uli Grasemann, Daniel Stronger, and Peter Stone. A Neural Network-Based Approach to Robot Motion Control. In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 480–87, Springer Verlag, Berlin, 2008.
  Details     BibTeX     Download: [pdf] (280.9kB )  [ps] (1.6MB )  

Greenwald

• Amy Greenwald, Nicholas R. Jennings, and Peter Stone. Guest Editors' Introduction: Agents and Markets. IEEE Intelligent Systems, 18(6):12–14, November/December 2003.
  IEEEIntelligent Systems special issue on agents and markets.
  Details     BibTeX     Download: [pdf] (545.6kB )  

• Amy Greenwald and Peter Stone. Autonomous Bidding Agents in the Trading Agent Competition. IEEE Internet Computing, 5(2):52–60, March/April 2001.
  Magazine's website
  Details     BibTeX     Download: [pdf] (817.8kB )  [ps] (1.4MB )  

Hausknecht

• Matthew Hausknecht and Peter Stone. Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker. In Javier Ruiz-del-Solar, Eric Chown, and Paul G. Plöger, editors, RoboCup-2010: Robot Soccer World Cup XIV, Lecture Notes in Artificial Intelligence, pp. 254–65, Springer Verlag, Berlin, 2011.
  Video and source code available at http://www.cs.utexas.edu/~AustinVilla/?p=research/aibo_kick
  Details     BibTeX     Download: [pdf] (324.4kB )  [ps] (2.8MB )  

• Matthew Hausknecht, Tsz-Chiu Au, Peter Stone, David Fajardo, and Travis Waller. Dynamic Lane Reversal in Traffic Management. In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), 2011.
  Details     BibTeX     Download: [pdf] (127.0kB )  [ps] (4.3MB )  

• Matthew Hausknecht, Tsz-Chiu Au, and Peter Stone. Autonomous Intersection Management: Multi-Intersection Optimization. In Proceedings of IROS 2011-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), September 2011.
  Details     BibTeX     Download: [pdf] (252.7kB )  [ps] (1.9MB )  

Hester

• Todd Hester and Peter Stone. Learning and Using Models. In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, Springer Verlag, Berlin, Germany, 2011.
  Details     BibTeX     Download: [pdf] (474.7kB )  [ps] (1.0MB )  

• Todd Hester, Michael Quinlan, and Peter Stone. RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control. In IEEE International Conference on Robotics and Automation (ICRA), May 2012.
  Details     BibTeX     Download: [pdf] (359.7kB )  [ps] (1.9MB )  

• Todd Hester and Peter Stone. Real Time Targeted Exploration in Large Domains. In The Ninth International Conference on Development and Learning (ICDL), August 2010.
  ICDL 2010
  Details     BibTeX     Download: [pdf] (253.9kB )  [ps] (554.1kB )  

• Todd Hester, Michael Quinlan, and Peter Stone. Generalized Model Learning for Reinforcement Learning on a Humanoid Robot. In IEEE International Conference on Robotics and Automation (ICRA), May 2010.
  Video available at http://www.cs.utexas.edu/~AustinVilla/?p=research/rl_kick
  Details     BibTeX     Download: [pdf] (1.5MB )  [ps] (25.3MB )  

• Todd Hester and Peter Stone. Generalized Model Learning for Reinforcement Learning in Factored Domains. In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2009.
  AAMAS 2009
  Details     BibTeX     Download: [pdf] (181.5kB )  [ps] (425.5kB )  

• Todd Hester and Peter Stone. Negative Information and Line Observations for Monte Carlo Localization. In IEEE International Conference on Robotics and Automation, May 2008.
  ICRA 2008
  Details     BibTeX     Download: [pdf] (128.7kB )  [ps] (501.7kB )  

• Todd Hester and Peter Stone. An Empirical Comparison of Abstraction in Models of Markov Decision Processes. In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, June 2009.
  ICML ARL 2009
  Details     BibTeX     Download: [pdf] (127.0kB )  [ps] (363.0kB )  

• Todd Hester, Michael Quinlan, Peter Stone, and Mohan Sridharan. TT-UT Austin Villa 2009: Naos across Texas. Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department of Computer Science, AI Laboratory, 2009.
  Details     BibTeX     Download: [pdf] (787.9kB )  [ps] (7.0MB )  

• Todd Hester, Michael Quinlan, and Peter Stone. UT Austin Villa 2008: Standing on Two Legs. Technical Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2008.
  Details     BibTeX     Download: [pdf] (705.9kB )  [ps] (6.2MB )  

Isbell

• Charles Lee Isbell, Jr., Michael Kearns, Satinder Singh, Christian Shelton, Peter Stone, and Dave Kormann. Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Autonomous Agents and Multiagent Systems, 13(3), November 2006.
  Official version from publisher's website.
  Contains material that was previously published in an Agents-2001 paper that won the BEST PAPER AWARD. JAAMAS
  Details     BibTeX     Download: (unavailable)

• Charles Lee Isbell, Jr., Michael Kearns, Dave Kormann, Satinder Singh, and Peter Stone. Cobot in LambdaMOO: A Social Statistics Agent. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 36–41, 2001.
  AAAI-2000
  Details     BibTeX     Download: [pdf] (97.0kB )  [ps] (114.7kB )  

Jong

• Nicholas K. Jong and Peter Stone. Compositional Models for Reinforcement Learning. In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
  Details     BibTeX     Download: [pdf] (173.0kB )  [ps] (431.7kB )  

• Nicholas K. Jong and Peter Stone. Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ. In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
  ICML 2008
  Details     BibTeX     Download: [pdf] (157.5kB )  [ps] (370.2kB )  

• Nicholas K. Jong, Todd Hester, and Peter Stone. The Utility of Temporal Abstraction in Reinforcement Learning. In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
  AAMAS-2008
  Details     BibTeX     Download: [pdf] (136.4kB )  [ps] (325.7kB )  

• Nicholas K. Jong and Peter Stone. Model-Based Function Approximation for Reinforcement Learning. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  Details     BibTeX     Download: [pdf] (321.1kB )  [ps] (1.0MB )  

• Nicholas K. Jong and Peter Stone. State Abstraction Discovery from Irrelevant State Variables. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, pp. 752–757, August 2005.
  Details     BibTeX     Download: [pdf] (102.1kB )  [ps] (249.8kB )  

• Nicholas K. Jong and Peter Stone. Model-Based Exploration in Continuous State Spaces. In The Seventh Symposium on Abstraction, Reformulation, and Approximation, July 2007.
  Details     BibTeX     Download: [pdf] (324.3kB )  [ps] (1.1MB )  

• Nicholas K. Jong and Peter Stone. Bayesian Models of Nonstationary Markov Decision Problems. In IJCAI 2005 workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, August 2005.
  Workshop webpage.
  Details     BibTeX     Download: [pdf] (42.4kB )  

• Nicholas K. Jong and Peter Stone. Towards Employing PSRs in a Continuous Domain. Technical Report UT-AI-TR-04-309, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2004.
  UTAustin AI Lab technical reports
  Details     BibTeX     Download: [pdf] (94.1kB )  

Jung

• Tobias Jung, Daniel Polani, and Peter Stone. Empowerment for continuous agent-environment systems. Adaptive Behavior, 19(1):16–39, 2011.
  Available from Adaptive Behavior page.
  Details     BibTeX     Download: [pdf] (1.8MB )  [ps] (1.8MB )  

• Tobias Jung and Peter Stone. Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration. In The European Conference on Machine Learning, September 2010.
  Details     BibTeX     Download: [pdf] (417.0kB )  [ps] (6.5MB )  

• Tobias Jung and Peter Stone. Feature Selection for Value Function Approximation Using Bayesian Model Selection. In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
  Details     BibTeX     Download: [pdf] (746.9kB )  [ps] (2.3MB )  

• Tobias Jung, Mazda Ahmadi, and Peter Stone. Connectivity-based Localization in Robot Networks. In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), June 2009.
  Details     BibTeX     Download: [pdf] (176.8kB )  [ps] (514.7kB )  

Kalyanakrishnan

• Shivaram Kalyanakrishnan and Peter Stone. Characterizing Reinforcement Learning Methods through Parameterized Learning Problems. Machine Learning (MLJ), 84(1--2):205–247, July 2011.
  Publisher's on-line version
  Details     BibTeX     Download: [pdf] (858.5kB )  [ps] (2.4MB )  

• Shivaram Kalyanakrishnan and Peter Stone. Learning Complementary Multiagent Behaviors: A Case Study. In Proceedings of the RoboCup International Symposium 2009, Springer Verlag, 2009.
  BEST STUDENT PAPER AWARD WINNER at RoboCup International Symposium.
  Some simulations referenced in the paper.
  Details     BibTeX     Download: [pdf] (200.5kB )  [ps] (1.4MB )  

• Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone. Three Humanoid Soccer Platforms: Comparison and Synthesis. In Proceedings of the RoboCup International Symposium 2009, Springer Verlag, 2009.
  Details     BibTeX     Download: [pdf] (379.0kB )  [ps] (5.3MB )  

• Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu. Model-based Reinforcement Learning in a Complex Domain. In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Lecture Notes in Artificial Intelligence, pp. 171–83, Springer Verlag, Berlin, 2008.
  Details     BibTeX     Download: [pdf] (200.9kB )  [ps] (515.0kB )  

• Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone. Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 72–85, Springer Verlag, Berlin, 2007.
  BEST STUDENT PAPER AWARD WINNER at RoboCup International Symposium.
  Some simulations referenced in the paper.
  Details     BibTeX     Download: [pdf] (992.2kB )  [ps] (1.6MB )  

• Shivaram Kalyanakrishnan and Peter Stone. Efficient Selection of Multiple Bandit Arms: Theory and Practice. In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010), 2010.
  Details     BibTeX     Download: [pdf] (257.1kB )  [ps] (679.3kB )  

• Shivaram Kalyanakrishnan and Peter Stone. An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning. In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749–756, International Foundation for Autonomous Agents and Multiagent Systems, May 2009.
  AAMAS 2009
  Details     BibTeX     Download: [pdf] (366.4kB )  [ps] (1.7MB )  

• Shivaram Kalyanakrishnan and Peter Stone. Batch Reinforcement Learning in a Complex Domain. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 650–657, ACM, New York, NY, USA, May 2007.
  BEST PAPER AWARD NOMINEE.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (186.4kB )  [ps] (384.8kB )  

• Shivaram Kalyanakrishnan and Peter Stone. On Learning with Imperfect Representations. In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 17–24, IEEE, April 2011.
  Details     BibTeX     Download: [pdf] (163.8kB )  [ps] (196.0kB )  

• Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone. The UT Austin Villa 3D Simulation Soccer Team 2008. Technical Report AI09-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2009.
  Details     BibTeX     Download: [pdf] (292.6kB )  [ps] (983.9kB )  

• Shivaram Kalyanakrishnan and Peter Stone. The UT Austin Villa 3D Simulation Soccer Team 2007. Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2007.
  Supplementary resources at the UT Austin Villa 3D Simulation page.
  Details     BibTeX     Download: [pdf] (273.4kB )  [ps] (5.7MB )  

Khandelwal

• Piyush Khandelwal and Peter Stone. A Low Cost Ground Truth Detection System Using the Kinect. In Thomas Roefer, Norbert Michael Mayer, Jesus Savage, and Uluc Saranli, editors, RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2012. To appear.
  Details     BibTeX     Download: [pdf] (323.7kB )  [ps] (2.7MB )  

• Piyush Khandelwal, Matthew Hausknecht, Juhyun Lee, Aibo Tian, and Peter Stone. Vision Calibration and Processing on a Humanoid Soccer Robot. In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, December 2010.
  Details     BibTeX     Download: [pdf] (402.6kB )  [ps] (14.8MB )  

Kitano

• Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada. The RoboCup Synthetic Agent Challenge 97. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pp. 24–29, Morgan Kaufmann, San Francisco, CA, 1997.
  IJCAI-97
  HTML version.
  Details     BibTeX     Download: [pdf] (135.1kB )  [ps] (97.9kB )  

Knox

• W. Bradley Knox and Peter Stone. Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning. In Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
  Winner of the Pragnesh Jay Modi BEST STUDENT PAPER AWARD (and best paper award nominee).
  The TAMER project page with videos of TAMER in action.
  AAMAS-2010
  Details     BibTeX     Download: [pdf] (422.9kB )  [ps] (3.5MB )  

• W. Bradley Knox and Peter Stone. Interactively Shaping Agents via Human Reinforcement: The TAMER Framework. In The Fifth International Conference on Knowledge Capture, September 2009.
  The TAMER project page with videos of TAMER in action.
  K-CAP 2009
  Details     BibTeX     Download: [pdf] (540.2kB )  [ps] (3.7MB )  

• W. Bradley Knox and Peter Stone. TAMER: Training an Agent Manually via Evaluative Reinforcement. In IEEE 7th International Conference on Development and Learning, August 2008.
  ICDL-2008
  Also available in IEEE Xplore, 9-12 Aug. 2008 Pages:292 - 297
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (12.8MB )  

• W. Bradley Knox and Peter Stone. Augmenting Reinforcement Learning with Human Feedback. In ICML 2011 Workshop on New Developments in Imitation Learning, July 2011.
  ICML 2011 Workshop on New Developments in Imitation Learning
  Details     BibTeX     Download: [pdf] (333.3kB )  [ps] (2.5MB )  

• W. Bradley Knox and Peter Stone. Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report. In IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
  IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)
  Details     BibTeX     Download: [pdf] (372.4kB )  [ps] (41.6MB )  

• W. Bradley Knox, Ian Fasel, and Peter Stone. Design Principles for Creating Human-Shapable Agents. In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
  AAAI Spring 2009 Symposium: Agents that Learn from Human Teachers
  Details     BibTeX     Download: [pdf] (400.8kB )  [ps] (2.1MB )  

Kohl

• Nate Kohl and Peter Stone. Machine Learning for Fast Quadrupedal Locomotion. In The Nineteenth National Conference on Artificial Intelligence, pp. 611–616, July 2004.
  Some videos of walking robots referenced in the paper.
  AAAI 2004
  Details     BibTeX     Download: [pdf] (210.0kB )  [ps] (1.4MB )  

• Nate Kohl and Peter Stone. Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. In Proceedings of the IEEE International Conference on Robotics and Automation, May 2004.
  Some videos of walking robots referenced in the paper.
  ICRA 2004
  Details     BibTeX     Download: [pdf] (301.5kB )  [ps] (3.2MB )  

Kuhlmann

• Gregory Kuhlmann, Peter Stone, and Justin Lallinger. The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 636–644, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (112.7kB )  [ps] (287.8kB )  

• Gregory Kuhlmann and Peter Stone. Graph-Based Domain Mapping for Transfer Learning in General Games. In Proceedings of The Eighteenth European Conference on Machine Learning, September 2007.
  Details     BibTeX     Download: [pdf] (377.0kB )  [ps] (601.6kB )  

• Gregory Kuhlmann, Kurt Dresner, and Peter Stone. Automatic Heuristic Construction in a Complete General Game Player. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1457–62, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (124.1kB )  [ps] (156.2kB )  

• Gregory Kuhlmann, William B. Knox, and Peter Stone. Know Thine Enemy: A Champion RoboCup Coach Agent. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463–68, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (126.0kB )  [ps] (286.1kB )  

• Gregory Kuhlmann, Peter Stone, Raymond Mooney, and Jude Shavlik. Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer. In The AAAI-2004 Workshop on Supervisory Control of Learning and Adaptive Systems, July 2004.
  Details     BibTeX     Download: [pdf] (170.3kB )  [ps] (498.2kB )  

Lee

• Juhyun Lee, W. Bradley Knox, and Peter Stone. Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting. Journal of Physical Agents, 2(2):41–50, July 2008. Special Issue on Human Interaction with Domestic Robots
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (2.4MB )  [ps] (3.4MB )  

Lin

• Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, and Peter Stone. Comparing Agents: Success against People in Security Domains. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011.
  Details     BibTeX     Download: [pdf] (387.5kB )  

Littman

• Michael L. Littman and Peter Stone. A Polynomial-time Nash Equilibrium Algorithm for Repeated Games. Decision Support Systems, 39:55–66 , 2005.
  An earlier version appeared in the proceedings of the fourth annual ACM Conference on Electronic Commerce
  Official version from Decision Support Systems
  Details     BibTeX     Download: [pdf] (244.7kB )  [ps] (272.4kB )  

• Michael L. Littman and Peter Stone. Implicit Negotiation in Repeated Games. In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 393–404, August 2001.
  ATAL-2001
  Details     BibTeX     Download: [pdf] (181.2kB )  [ps] (149.4kB )  

Liu

• Yaxin Liu and Peter Stone. Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 415–20, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (151.7kB )  [ps] (1.6MB )  

MacAlpine

• Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae \cStiurc\ua, Victor Vu, and Peter Stone. UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition. In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2012), June 2012.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/components.html
  Details     BibTeX     Download: [pdf] (646.3kB )  [ps] (2.7MB )  

McAllester

• David McAllester and Peter Stone. Keeping the Ball from CMUnited-99. In Peter Stone, Tucker Balch, and Gerhard Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, pp. 333–338, Springer Verlag, Berlin, 2001.
  Details     BibTeX     Download: [pdf] (107.1kB )  [ps] (66.1kB )  

Noda

• Itsuki Noda and Peter Stone. The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research. Autonomous Agents and Multi-Agent Systems, 7(1--2):101–120, July--September 2003.
  Details     BibTeX     Download: [pdf] (271.2kB )  [ps] (459.0kB )  

• Itsuki Noda, Peter Stone, Tomohisa Yamashita, and Koichi Kurumatani. Multi-Agent Social Simulation. In Nakashima, H., Aghajan, H., \& Augusto, J. C., editors, Handbook of Ambient Intelligence and Smart Environments, pp. 703–729, 2010.
  Official version from publisher's webage
  Details     BibTeX     Download: (unavailable)

Pardoe

• David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak. Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge. Informs Journal on Computing, 22(3):353–370, 2010.
  Details     BibTeX     Download: [pdf] (530.9kB )  [ps] (9.2MB )  

• David Pardoe and Peter Stone. Designing Adaptive Trading Agents. ACM SIGecom Exchanges, 10(2):37–9, June 2011.
  SIGecom Exchanges
  Details     BibTeX     Download: [pdf] (159.7kB )  

• David Pardoe and Peter Stone. Developing Adaptive Auction Mechanisms. ACM SIGecom Exchanges, 5(3):1–10, April 2005.
  SIGecom Exchanges
  Details     BibTeX     Download: [pdf] (155.6kB )  [ps] (212.4kB )  

• David Pardoe and Peter Stone. TacTex-03: A Supply Chain Management Agent. ACM SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis, 4(3):19–28, Winter 2004.
  SIGecom Exchanges
  Extended version citable as University of Texas at Austin AI lab technical report number UT-AI-TR-04-308.
  Details     BibTeX     Download: [pdf] (145.3kB )  [ps] (161.6kB )  

• David Pardoe and Peter Stone. The 2007 TAC SCM Prediction Challenge. In Wolfgang Ketter, Han La Poutré, Norman Sadeh, OnnShehory, and William Walsh, editors, Agent-Mediated Electronic Commerce and Trading AgentDesign and Alaysis, Lecture Notes in Business Information Processing (LNBIP), pp. 175–89, 2010.
  Details     BibTeX     Download: [pdf] (1.0MB )  [ps] (2.0MB )  

• David Pardoe and Peter Stone. An Autonomous Agent for Supply Chain Management. In Gedas Adomavicius and Alok Gupta, editors, Handbooks in Information Systems Series: Business Computing, pp. 141–72, Emerald Group, 2009.
  Details     BibTeX     Download: [pdf] (392.2kB )  [ps] (736.6kB )  

• David Pardoe and Peter Stone. Adapting Price Predictions in TAC SCM. In John Collins, Peyman Faratin, Simon Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, and Elizabeth Sklar, editors, Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, Lecture Notes in Business Information Processing, pp. 30–45, 2009.
  Official version from publisher's webpage
  Details     BibTeX     Download: [pdf] (328.7kB )  [ps] (524.0kB )  

• David Pardoe and Peter Stone. Bidding for Customer Orders in TAC SCM. In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), Lecture Notes in Artificial Intelligence, pp. 143–157, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (174.3kB )  [ps] (283.8kB )  

• David Pardoe and Peter Stone. A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), May 2011.
  Details     BibTeX     Download: [pdf] (313.6kB )  [ps] (280.8kB )  

• David Pardoe and Peter Stone. Boosting for Regression Transfer. In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), June 2010.
  Details     BibTeX     Download: [pdf] (600.5kB )  [ps] (1.7MB )  

• David Pardoe, Doran Chakraborty, and Peter Stone. TacTex09: A Champion Bidding Agent for Ad Auctions. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
  Details     BibTeX     Download: [pdf] (564.3kB )  [ps] (1.0MB )  

• David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak. Adaptive Mechanism Design: A Metalearning Approach. In The Eighth International Conference on Electronic Commerce, pp. 92–102, August 2006.
  ICEC 2006. Contains material from Adaptive Auctions: Learning to Adjust to Bidders, Workshop on Information Technologies and Systems (WITS), 2005.
  Details     BibTeX     Download: [pdf] (334.2kB )  [ps] (511.6kB )  

• David Pardoe and Peter Stone. TacTex-2005: A Champion Supply Chain Management Agent. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1489–94, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (200.7kB )  [ps] (196.5kB )  

• David Pardoe and Peter Stone. Predictive Planning for Supply Chain Management. In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006.
  ICAPS 2006
  Details     BibTeX     Download: [pdf] (366.2kB )  [ps] (950.9kB )  

Quinlan

• Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, and Peter Stone. Bringing Simulation to Life: A Mixed Reality Autonomous Intersection. In Proceedings of IROS 2010-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), October 2010.
  Video available at http://www.cs.utexas.edu/~aim/video/MixedReality.wmv
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (10.6MB )  

Rabideau

• Gregg Rabideau, Steve Chien, Peter Stone, Jason Willis, Curt Eggemeyer, and Tobias Mann. Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations. In Proceedings of the 1997 IEEE Aerospace Conference, pp. 325–341, Aspen, CO, February 1997.
  Part 1 (pdf version) Part 2 (pdf version) Part 3 (pdf version) Part 4 (pdf version)
  Details     BibTeX     Download: (unavailable)

Reisinger

• Joseph Reisinger, Peter Stone, and Risto Miikkulainen. Online Kernel Selection for Bayesian Reinforcement Learning. In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008.
  ICML 2008
  Details     BibTeX     Download: [pdf] (434.0kB )  [ps] (1.7MB )  

Reitsma

• Paul S. A. Reitsma, Peter Stone, János A. Csirik, and Michael L. Littman. Self-enforcing Strategic Demand Reduction. In Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Lecture Notes in Artificial Intelligence, pp. 289–306, Springer Verlag, 2002.
  Details     BibTeX     Download: [pdf] (141.7kB )  [ps] (125.4kB )  

Riley

• Patrick Riley, Peter Stone, and Manuela Veloso. Layered Disclosure: Revealing Agents' Internals. In C. Castelfranchi and Y. Lespérance, editors, Intelligent Agents VII. Agent Theories, Architectures, and Languages --- 7th. International Workshop, ATAL-2000, Boston, MA, USA, July 7--9, 2000, Proceedings, Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, Berlin, 2001.
  Publisher's Webpage© Springer-Verlag
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• Patrick Riley, Peter Stone, David McAllester, and Manuela Veloso. ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. In P. Stone, T. Balch, and G. Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2001.
  Details     BibTeX     Download: [pdf] (114.6kB )  [ps] (82.2kB )  

Saggar

• Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone. Autonomous Learning of Stable Quadruped Locomotion. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 98–109, Springer Verlag, Berlin, 2007.
  BEST PAPER AWARD NOMINEE at RoboCup International Symposium.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (1.1MB )  [ps] (26.8MB )  

Scerri

• Paul Scerri, Balajee Kannan, Pras Velagapudi, KateMacarthur, Peter Stone, Matthew E. Taylor, John Dolan andAlessandro Farinelli, Archie Chapman, Bernadine Dias, and GeorgeKantor. Flood Disaster Mitigation: A Real-world Challenge Problem forMulti-Agent Unmanned Surface Vehicles. In Proceedings of the Autonomous Robots and MultirobotSystems workshop (at AAMAS-11), May 2011.
  ARMS-11
  Details     BibTeX     Download: [pdf] (765.1kB )  

Schapire

• Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and János A. Csirik. Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. In Proceedings of the Nineteenth International Conference on Machine Learning, 2002.
  ICML-2002
  Details     BibTeX     Download: [pdf] (159.5kB )  [ps] (137.2kB )  

Setapen

• Adam Setapen, Michael Quinlan, and Peter Stone. MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training. In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
  supplemental video cited in the paper.
  Details     BibTeX     Download: [pdf] (533.2kB )  [ps] (9.7MB )  

Sherstov

• Alexander Sherstov and Peter Stone. Three Automated Stock-Trading Agents: A Comparative Study. In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), Lecture Notes in Artificial Intelligence, pp. 173–187, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (167.0kB )  [ps] (248.6kB )  

• Alexander A. Sherstov and Peter Stone. Function Approximation via Tile Coding: Automating Parameter Choice. In J.-D. Zucker and I. Saitta, editors, SARA 2005, Lecture Notes in Artificial Intelligence, pp. 194–205, Springer Verlag, Berlin, 2005.
  SARA-05.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (187.7kB )  [ps] (583.4kB )  

• Alexander A. Sherstov and Peter Stone. Improving Action Selection in MDP's via Knowledge Transfer. In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (205.5kB )  [ps] (774.2kB )  

Singh

• Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, and Peter Stone. Learning Predictive State Representations. In Proceedings of the Twentieth International Conference on Machine Learning, August 2003.
  ICML-2003
  Details     BibTeX     Download: [pdf] (316.3kB )  [ps] (319.2kB )  

Sklar

• Elizabeth Sklar, Simon Parsons, and Peter Stone. Using RoboCup in university-level computer science education. Journal on Educational Resources in Computing, 4(2), June 2004. Special issue on robotics in undergraduate education. Part 1
  Available from the publisher's webpage
  JERIC
  Details     BibTeX     Download: (unavailable)

Sridharan

• Mohan Sridharan and Peter Stone. Color Learning and Illumination Invariance on Mobile Robots: A Survey. Robotics and Autonomous Systems (RAS) Journal, 57(60-7):629–44, June 2009.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps] (6.0MB )  

• Mohan Sridharan and Peter Stone. Structure Based Color Learning on a Mobile Robot under Changing Illumination. Autonomous Robots, 23(3):161–182, 2007.
  Official versionfrom the Autonomous Robots publisher's webpage.
  Details     BibTeX     Download: [pdf] (2.0MB )  [ps] (8.6MB )  

• Mohan Sridharan and Peter Stone. Planning Actions to Enable Color Learning on a Mobile Robot. International Journal of Information and Systems Sciences, 3(3):510–25, 2007.
  official published version
  Details     BibTeX     Download: (unavailable)

• Mohan Sridharan and Peter Stone. Towards Illumination Invariance in the Legged League. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 196–208, Springer Verlag, Berlin, 2005.
  Some videos of robots referenced in the paper.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (245.1kB )  [ps] (2.1MB )  

• Mohan Sridharan and Peter Stone. Action Selection for Illumination Invariant Color Learning. In The IEEE International Conference on Intelligent Robots and Systems (IROS), 2007.
  Details     BibTeX     Download: [pdf] (176.5kB )  [ps] (490.5kB )  

• Mohan Sridharan and Peter Stone. Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. In The 20th International Joint Conference on Artificial Intelligence, pp. 2212–2217, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (129.5kB )  [ps] (184.9kB )  

• Mohan Sridharan and Peter Stone. Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2006.
  ICARCV 2006
  Details     BibTeX     Download: [pdf] (444.1kB )  [ps] (2.3MB )  

• Mohan Sridharan and Peter Stone. Autonomous Color Learning on a Mobile Robot. In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  Some videos of the robot referenced in the paper.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (901.5kB )  [ps] (6.4MB )  

• Mohan Sridharan and Peter Stone. Real-Time Vision on a Mobile Robot Platform. In IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005.
  Some videos of the robot referenced in the paper.
  IROS-2005
  Details     BibTeX     Download: [pdf] (396.1kB )  [ps] (5.0MB )  

• Mohan Sridharan, Gregory Kuhlmann, and Peter Stone. Practical Vision-Based Monte Carlo Localization on a Legged Robot. In IEEE International Conference on Robotics and Automation, April 2005.
  ICRA 2005
  Details     BibTeX     Download: [pdf] (217.6kB )  [ps] (2.0MB )  

Stone

• Peter Stone. Intelligent Autonomous Robotics: A Robot Soccer Case Study, Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan \& Claypool Publishers, 2007.
  Available from Synthesis page.
  ISBN: 9781598291262
  Details     BibTeX     Download: (unavailable)

• Peter Stone and Gerhard Weiss, editors. Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Association for Computing Machinery (ACM), May 2006.
  A book based on AAMAS 2006
  ISBN: 1-59593-303-4
  on-line version from ACM.
  Details     BibTeX     Download: (unavailable)

• Peter Stone, Tucker Balch, and Gerhard Kraetzschmar, editors. RoboCup-2000: Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2001.
  A book based on RoboCup-2000
  Available from the publisher's webpage
  ISBN: 3540421858
  Details     BibTeX     Download: (unavailable)

• Peter Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer, MIT Press, 2000.
  A book based on my Ph.D. thesis
  Contents, availability, and on-line appendices
  ISBN: 0262194384
  Details     BibTeX     Download: (unavailable)

• Peter Stone. Multiagent learning is not the answer. It is the question. Artificial Intelligence, 171:402–05, May 2007.
  Response to Shoham, Powers, and Grenager If Multi-Agent Systems is the Answer, What is the Question?, available from Shoham's webpage.
  Official version from the AIJ publisher's webpage.
  Details     BibTeX     Download: [pdf] (117.9kB )  [ps] (91.0kB )  

• Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong. From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty. Robotics and Autonomous Systems , 54(11):933–43, November 2006. Special issue on Planning Under Uncertainty in Robotics.
  Official versionfrom the RAS publisher's webpage.
  Details     BibTeX     Download: [pdf] (260.5kB )  [ps] (3.6MB )  

• Peter Stone, Richard S. Sutton, and Gregory Kuhlmann. Reinforcement Learning for RoboCup-Soccer Keepaway. Adaptive Behavior, 13(3):165–188, 2005.
  Contains material that was previously published in an ICML-2001 paper and a RoboCup 2003 Symposium paper.
  Some simulations of keepaway referenced in the paper and keepaway software.
  Details     BibTeX     Download: [pdf] (1.2MB )  [ps] (2.0MB )  

• Peter Stone and Amy Greenwald. The First International Trading Agent Competition: Autonomous Bidding Agents. Electronic Commerce Research, 5(2):229–65, April 2005.
  Official version from publisher's website © Springer-Verlag
  Details     BibTeX     Download: [pdf] (398.7kB )  [ps] (679.1kB )  

• Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, and David McAllester. Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions. Journal of Artificial Intelligence Research, 19:209–242, 2003.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] [ps] 

• Peter Stone, Michael L. Littman, Satinder Singh, and Michael Kearns. ATTac-2000: An Adaptive Autonomous Bidding Agent. Journal of Artificial Intelligence Research, 15:189–206, June 2001.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (326.9kB )  [ps] (305.2kB )  

• Peter Stone and Manuela Veloso. Multiagent Systems: A survey from a machine learning perspective. Autonomous Robots, 8(3):345–383, July 2000.
  Formerly citable as Carnegie Mellon University CS technical report number CMU-CS-97-193. December, 1997.
  Details     BibTeX     Download: [pdf] (292.1kB )  [ps] (1.1MB )  

• Peter Stone and Manuela Veloso. Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Artificial Intelligence, 110(2):241–273, June 1999.
  HTML version.
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• Peter Stone and Manuela Veloso. A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server. Applied Artificial Intelligence, 12:165–188, 1998.
  HTML version.
  Details     BibTeX     Download: [pdf] (189.1kB )  [ps] (1.2MB )  

• Peter Stone and Manuela Veloso. Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer. International Journal of Human-Computer Studies, 48(1):83–104, January 1998.
  HTML version.
  Details     BibTeX     Download: [pdf] (137.7kB )  [ps] (3.2MB )  

• Peter Stone, (ed.), 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. RoboCup-2000: The Fourth Robotic Soccer World Championships. AI Magazine, 22(1), 2001.
  Details     BibTeX     Download: [pdf] (661.0kB )  [ps] (20.2MB )  

• Peter Stone, Michael Quinlan, and Todd Hester. Can Robots Play Soccer?. In Ted Richards, editors, Soccer and Philosophy: Beautiful Thoughts on theBeautiful Game, Popular Culture and Philosophy, pp. 75–88, Open Court Publishing Company, 2010.
  Appears in Soccer and Philosophy (available from amazon.com)
  Details     BibTeX     Download: [pdf] (121.3kB )  [ps] (514.1kB )  

• Peter Stone, Gal A. Kaminka, and Jeffrey S. Rosenschein. Leading a Best-Response Teammate in an Ad Hoc Team. In Esther David, Enrico Gerding, David Sarne, and Onn Shehory, editors, Agent-Mediated Electronic Commerce: Designing Trading Strategies andMechanisms for Electronic Markets, pp. 132–146, November 2010.
  Official version from publisher's webpage
  Details     BibTeX     Download: [pdf] (179.3kB )  [ps] (226.4kB )  

• Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu. Keepaway Soccer: From Machine Learning Testbed to Benchmark. In Itsuki Noda, Adam Jacoff, Ansgar Bredenfeld, and Yasutake Takahashi, editors, RoboCup-2005: Robot Soccer World Cup IX, pp. 93–105, Springer Verlag, Berlin, 2006.
  Some simulations of keepaway referenced in the paper and keepaway software.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (567.7kB )  [ps] (2.3MB )  

• Peter Stone. RoboCup as an Introduction to CS Research. In Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Lecture Notes in Artificial Intelligence, pp. 284–95, Springer Verlag, Berlin, 2004.
  Details     BibTeX     Download: [pdf] (150.1kB )  [ps] (1.2MB )  

• Peter Stone. Multiagent Competitions and Research: Lessons from RoboCup and TAC. In Gal A. Kaminka, Pedro U. Lima, and Raul Rojas, editors, RoboCup-2002: Robot Soccer World Cup VI, Lecture Notes in Artificial Intelligence, pp. 224–237, Springer Verlag, Berlin, 2003.
  Details     BibTeX     Download: [pdf] (216.7kB )  [ps] (168.6kB )  

• Peter Stone and Manuela Veloso. Layered Learning. In Ramon López de Mántaras and Enric Plaza, editors, Machine Learning: ECML 2000 (Proceedings of the Eleventh European Conference on Machine Learning), pp. 369–381, Springer Verlag, Barcelona,Catalonia,Spain, May/June 2000.
  Details     BibTeX     Download: [pdf] (152.3kB )  [ps] (362.7kB )  

• Peter Stone and Manuela Veloso. Team-Partitioned, Opaque-Transition Reinforcement Learning. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in Artificial Intelligence, pp. 261–72, Springer Verlag, Berlin, 1999. Also in Proceedings of the Third International Conference on Autonomous Agents, 1999
  Details     BibTeX     Download: [pdf] (151.4kB )  [ps] (144.7kB )  

• Peter Stone and Manuela Veloso. Using Decision Tree Confidence Factors for Multiagent Control. In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 99–111, Springer Verlag, Berlin, 1998.
  HTML version.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (157.2kB )  [ps] (128.0kB )  

• Peter Stone and Manuela Veloso. User-guided Interleaving of Planning and Execution. In M. Ghallab and A. Milani, editors, New Directions in AI Planning, pp. 103–112, IOS Press, 1996.
  Details     BibTeX     Download: [pdf] (154.0kB )  [ps] (170.7kB )  

• Peter Stone, Gal A. Kaminka, Sarit Kraus, and Jeffrey S. Rosenschein . Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. In Proceedings of the Twenty-Fourth Conference on Artificial Intelligence, July 2010.
  AAAI 2010
  Details     BibTeX     Download: [pdf] (119.0kB )  [ps] (266.6kB )  

• Peter Stone and Sarit Kraus. To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams. In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems, May 2010.
  supplemental material cited in the paper, including a proof and an algorithm.
  AAMAS 2010
  Details     BibTeX     Download: [pdf] (160.0kB )  [ps] (285.8kB )  

• Peter Stone. Learning and Multiagent Reasoning for Autonomous Agents. In The 20th International Joint Conference on Artificial Intelligence, pp. 13–30, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (308.5kB )  [ps] (379.3kB )  

• Peter Stone and David McAllester. An Architecture for Action Selection in Robotic Soccer. In Proceedings of the Fifth International Conference on Autonomous Agents, pp. 316–323, ACM Press, New York, NY, 2001.
  Agents-2001
  Details     BibTeX     Download: [pdf] (177.5kB )  [ps] (174.3kB )  

• Peter Stone, Patrick Riley, and Manuela Veloso. Defining and Using Ideal Teammate and Opponent Models. In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence, 2000.
  AAAI Homepage
  Details     BibTeX     Download: [pdf] (90.3kB )  [ps] (101.4kB )  

• Peter Stone. TPOT-RL Applied to Network Routing. In Proceedings of the Seventeenth International Conference on Machine Learning, pp. 935–942, 2000.
  ICML-2000
  Details     BibTeX     Download: [pdf] (161.7kB )  [ps] (395.0kB )  

• Peter Stone and Manuela Veloso. Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. In Advances in Neural Information Processing Systems 8, pp. 896–902, MIT Press, Cambridge, MA, 1996.
  NIPS-95
  HTML version.
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• Peter Stone, Manuela Veloso, and Jim Blythe. The need for different domain-independent heuristics. In Proceedings of the Second International Conference on AI Planning Systems, pp. 164–169, June 1994.
  Details     BibTeX     Download: [pdf] (146.6kB )  [ps] (125.5kB )  

• Peter Stone and Manuela Veloso. Using Testing to Iteratively Improve Training. In Working Notes of the AAAI 1995 Fall Symposium on Active Learning, pp. 110–111, Boston, MA, November 1995.
  Details     BibTeX     Download: [pdf] (18.6kB )  [ps] (24.3kB )  

• Peter Stone and Manuela Veloso. Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems. 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.
  Details     BibTeX     Download: [pdf] (52.6kB )  [ps] (56.8kB )  

• Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan. DARPA Urban Challenge Technical Report: Austin Robot Technology. June 2007. Available from http://www.darpa.mil/grandchallenge/rules.asp
  Details     BibTeX     Download: [pdf] (2.7MB )  

• Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharan, and Shao-en Yu. The UT Austin Villa 2006 RoboCup Four-Legged Team. Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2006.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2006.html#06-337
  Details     BibTeX     Download: [pdf] (123.7kB )  [ps] (127.2kB )  

• Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger. The UT Austin Villa 2005 RoboCup Four-Legged Team. Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2005.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2005.html#05-325
  Details     BibTeX     Download: [pdf] (186.2kB )  [ps] (243.4kB )  

• Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger. The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age. Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2004.
  At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2004.html#04-313
  Details     BibTeX     Download: [pdf] (555.3kB )  [ps] (1.6MB )  

• Peter Stone, Kurt Dresner, Selim T. Erdo\ugan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan. The UT Austin Villa 2003 Four-Legged Team. In Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Springer Verlag, Berlin, 2004.
  Extended version (technical report with full details: "UT Austin Villa 2003: A New RoboCup Four-Legged Team").
  Details     BibTeX     Download: [pdf] (201.5kB )  [ps] (170.3kB )  

• Peter Stone. ATTUnited-2001: Using Heterogeneous Players. In Andreas Birk, Silvia Coradeschi, and Satoshi Tadokoro, editors, RoboCup-2001: Robot Soccer World Cup V, Lecture Notes in Artificial Intelligence, pp. 495–98, Springer Verlag, Berlin, 2002.
  Details     BibTeX     Download: [pdf] (112.8kB )  [ps] (79.3kB )  

• Peter Stone, Patrick Riley, and Manuela Veloso. The CMUnited-99 Champion Simulator Team. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, Lecture Notes in Artificial Intelligence, pp. 35–48, Springer Verlag, Berlin, 2000.
  Extended version (unofficial, but with some more details) (pdf version)
  Details     BibTeX     Download: [pdf] (197.0kB )  [ps] (235.3kB )  

• Peter Stone, Manuela Veloso, and Patrick Riley. The CMUnited-98 Champion Simulator Team. In M. Asada and H. Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in Artificial Intelligence, pp. 61–76, Springer Verlag, 1999.
  (extended version linked here)
  HTML version.
  Details     BibTeX     Download: [pdf] (195.1kB )  [ps] (174.7kB )  

• Peter Stone and Manuela Veloso. The CMUnited-97 Simulator Team. In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 387–397, Springer Verlag, Berlin, 1998.
  HTML version.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (128.3kB )  [ps] (107.2kB )  

Stronger

• Daniel Stronger and Peter Stone. Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents. International Journal on Artificial Intelligence Tools, 17(1):159–174, February 2008.
  official published version
  Details     BibTeX     Download: [pdf] (236.4kB )  [ps] (1.0MB )  

• Daniel Stronger and Peter Stone. Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot. Connection Science, 18(2):97–119, 2006. Special Issue on Developmental Robotics.
  Connection Science Journal. Contains material that was previously published in an ICRA-2005 paper.
  Details     BibTeX     Download: [pdf] (372.6kB )  [ps] (1.4MB )  

• Daniel Stronger and Peter Stone. Selective Visual Attention for Object Detection on a Legged Robot. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, pp. 158–170, Springer Verlag, Berlin, 2007.
  Some videos referenced in the paper.
  Details     BibTeX     Download: [pdf] (159.7kB )  [ps] (342.4kB )  

• Daniel Stronger and Peter Stone. A Model-Based Approach to Robot Joint Control. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 297–309, Springer Verlag, Berlin, 2005.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (235.3kB )  [ps] (489.4kB )  

• Daniel Stronger and Peter Stone. Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot. In IEEE International Conference on Robotics and Automation, May 2008.
  ICRA 2008
  Details     BibTeX     Download: [pdf] (182.1kB )  [ps] (902.7kB )  

• Daniel Stronger and Peter Stone. A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. In IEEE International Conference on Robotics and Automation, pp. 3915–3920, April 2007.
  Details     BibTeX     Download: [pdf] (271.4kB )  [ps] (2.2MB )  

Subramanian

• Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, and Ben Kuipers. Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference, July 2006.
  GECCO 2006
  Details     BibTeX     Download: [pdf] (214.6kB )  [ps] (813.6kB )  

Taylor

• Matthew E. Taylor and Peter Stone. Transfer Learning for Reinforcement Learning Domains: A Survey. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
  Official version from journal website.
  Details     BibTeX     Download: [pdf] (399.8kB )  [ps] (579.4kB )  

• Matthew E. Taylor, Peter Stone, and Yaxin Liu. Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (499.9kB )  [ps] (831.3kB )  

• Matthew E. Taylor and Peter Stone. An Introduction to Inter-task Transfer for Reinforcement Learning. AI Magazine, 32(1):15–34, 2011.
  Details     BibTeX     Download: [pdf] (263.9kB )  [ps] (773.0kB )  

• Matthew E. Taylor, Nicholas K. Jong, and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning. In Machine Learning and Knowledge Discovery in Databases, pp. 488–505, September 2008.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (304.9kB )  [ps] (860.1kB )  

• Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Autonomous Transfer for Reinforcement Learning. In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
  AAMAS-2008
  Details     BibTeX     Download: [pdf] (233.3kB )  [ps] (391.7kB )  

• Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Transfer Learning and Intelligence: an Argument and Approach. In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
  AGI-2008
  Google video version of the conference presentation.
  Details     BibTeX     Download: [pdf] (149.0kB )  [ps] (202.5kB )  

• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. In Proceedings of the Twenty-Second Conference on Artificial Intelligence, pp. 1675–1678, July 2007. Nectar Track
  AAAI 2007
  Details     BibTeX     Download: [pdf] (99.7kB )  [ps] (190.4kB )  

• Matthew E. Taylor and Peter Stone. Cross-Domain Transfer for Reinforcement Learning. In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
  ICML 2007
  Details     BibTeX     Download: [pdf] (220.7kB )  [ps] (325.4kB )  

• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
  AAMAS-2007
  Details     BibTeX     Download: [pdf] (222.5kB )  [ps] (525.2kB )  

• Matthew Taylor, Shimon Whiteson, and Peter Stone. Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321–28, July 2006.
  BEST PAPER AWARD at GECCO 2006
  Details     BibTeX     Download: [pdf] (235.9kB )  [ps] (562.2kB )  

• Matthew E. Taylor, Peter Stone, and Yaxin Liu. Value Functions for RL-Based Behavior Transfer: A Comparative Study. In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
  AAAI 2005
  Details     BibTeX     Download: [pdf] (147.3kB )  [ps] (449.9kB )  

• Matthew E. Taylor and Peter Stone. Behavior Transfer for Value-Function-Based Reinforcement Learning. In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 53–59, ACM Press, New York, NY, July 2005.
  AAMAS-2005
  Details     BibTeX     Download: [pdf] (230.4kB )  [ps] (620.1kB )  

• Matthew E. Taylor and Peter Stone. Representation Transfer for Reinforcement Learning. In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
  2007 AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development
  Details     BibTeX     Download: [pdf] (144.9kB )  [ps] (375.1kB )  

• Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Accelerating Search with Transferred Heuristics. In ICAPS-07 workshop on AI Planning and Learning, September 2007.
  ICAPS 2007 workshop on AI Planning and Learning
  Details     BibTeX     Download: [pdf] (139.9kB )  [ps] (215.4kB )  

Tumer

• Kagan Tumer, Pinar Yolum, Liz Sonenberg, and Peter Stone, editors. Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2011.
  A book based on AAMAS 2011
  ISBN-10: 0-9826571-5-3 ISBN-13 978-0-9826571-5-7
  on-line version from IFAAMAS.
  Details     BibTeX     Download: (unavailable)

Urieli

• Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone. On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer. In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 769–776, IFAAMAS, May 2011.
  Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2010/html/skilloptimization2010.html
  Details     BibTeX     Download: [pdf] (530.9kB )  [ps] (1.6MB )  

VanMiddlesworth

• Mark VanMiddlesworth, Kurt Dresner, and Peter Stone. Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles. In AAMAS Workshop on Agents in Traffic and Transportation, pp. 94–101, Estoril, Portugal, May 2008.
  Details     BibTeX     Download: [pdf] (161.4kB )  [ps] (305.1kB )  

Veloso

• Manuela Veloso, Peter Stone, and Kwun Han. The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control. Robotics and Autonomous Systems, 29(2-3):133–143, November 2000.
  Details     BibTeX     Download: [pdf] (245.3kB )  [ps] (497.0kB )  

• Manuela Veloso and Peter Stone. FLECS: Planning with a Flexible Commitment Strategy. Journal of Artificial Intelligence Research, 3:25–52, June 1995.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] [ps] 

• Manuela Veloso, Tucker Balch, Peter Stone, Hiroaki Kitano, Fuminori Yamasaki, Ken Endo, Minoru Asada, M. Jamzad, B. S. Sadjad, V. S. Mirrokni, M. Kazemi, H. Chitsaz, A. Heydarnoori, M. T. Hajiaghai, and E. Chiniforooshan. RoboCup-2001: The Fifth Robotic Soccer World Championships. AI Magazine, 23(1):55–68, 2002.
  Details     BibTeX     Download: (unavailable)

• Manuela Veloso, Peter Stone, and Michael Bowling. Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer. In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, pp. 134–143, SPIE, Bellingham, WA, September 1999.
  Details     BibTeX     Download: [pdf] (108.2kB )  [ps] (1.8MB )  

• Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone. The CMUnited-98 Champion Small Robot Team. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in Artificial Intelligence, pp. 77–92, Springer Verlag, Berlin, 1999.
  Details     BibTeX     Download: [pdf] (211.2kB )  [ps] (1.2MB )  

• Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim. The CMUnited-97 Small-Robot Team. In Hiroaki Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 242–256, Springer Verlag, Berlin, 1998.
  HTML version.
  Official version from Publisher's Webpage© Springer-Verlag
  Details     BibTeX     Download: [pdf] (191.8kB )  [ps] (355.0kB )  

Wellman

• Michael P. Wellman, Amy Greenwald, and Peter Stone. Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition, MIT Press, 2007.
  Available from MIT Press page.
  ISBN: 0-262-23260-X
  Details     BibTeX     Download: (unavailable)

• Michael P. Wellman, Amy Greenwald, Peter Stone, and Peter R. Wurman. The 2001 Trading Agent Competition. Electronic Markets, 13(1):4–12, May 2003.
  Available from the publisher's webpage
  An earlier version appeared in the Fourteenth Conference on Innovative Applications of Artificial Intelligence, pages 935-941, Edmonton, July 2002.
  Details     BibTeX     Download: [pdf] (165.3kB )  [ps] (855.0kB )  

Whiteson

• Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning. Journal of Autonomous Agents and Multi-Agent Systems, 21(1):1–27, 2010.
  Details     BibTeX     Download: [pdf] (760.6kB )  [ps] (1.9MB )  

• Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Empirical Studies in Action Selection for Reinforcement Learning. Adaptive Behavior, 15(1):33–50, March 2007.
  Details     BibTeX     Download: [pdf] (828.6kB )  [ps] (1.5MB )  

• Shimon Whiteson and Peter Stone. Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research, 7:877–917, May 2006.
  Available from journal's web page.
  Details     BibTeX     Download: [pdf] (1.7MB )  [ps] (6.1MB )  

• Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone. Evolving Keepaway Soccer Players through Task Decomposition. Machine Learning, 59(1):5–30, May 2005.
  Some videos of the agents before and after learning referenced in the paper.
  The publisher's official version
  An earlier version appeared in the proceedings of The Genetic and Evolutionary Computation Conference 2003 (GECCO-2003)
  Details     BibTeX     Download: [pdf] (278.8kB )  [ps] (566.8kB )  

• Shimon Whiteson and Peter Stone. Adaptive Job Routing and Scheduling. Engineering Applications of Artificial Intelligence, 17(7):855–69, October 2004. Special issue on Autonomic Computing and Automation
  Available from the publisher's webpage
  The version from this page corrects a minor error in the published version.
  An earlier version appeared in the proceedings of The Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI 2004)
  Details     BibTeX     Download: [pdf] (664.7kB )  [ps] (1.1MB )  

• Shimon Whiteson and Peter Stone. Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518–23, July 2006.
  AAAI 2006
  Details     BibTeX     Download: [pdf] (316.7kB )  [ps] (2.7MB )  

• Shimon Whiteson and Peter Stone. On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains. In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577–84, July 2006.
  GECCO 2006
  Details     BibTeX     Download: [pdf] (754.2kB )  [ps] (1.4MB )  

• Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl. Automatic Feature Selection via Neuroevolution. In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
  Details     BibTeX     Download: [pdf] (181.4kB )  [ps] (1.6MB )  

• Shimon Whiteson and Peter Stone. Concurrent Layered Learning. In Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 193–200, ACM Press, New York, NY, July 2003.
  AAMAS-2003
  Details     BibTeX     Download: [pdf] (159.1kB )  [ps] (372.6kB )  

• Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone. Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning. In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April 2011.
  2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)
  Details     BibTeX     Download: [pdf] (165.3kB )  

• Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Adaptive Tile Coding for Value Function Approximation. Technical Report AI-TR-07-339, University of Texas at Austin, 2007.
  Details     BibTeX     Download: [pdf] (329.4kB )  [ps] (942.5kB )  

Wildstrom

• Jonathan Wildstrom, Peter Stone, and Emmett Witchel. Autonomous Return on Investment Analysis of Additional Processing Resources. International Journal on Autonomic Computing, 1(3):280–296, Inderscience Publishers, Inderscience Publishers, Geneva, SWITZERLAND, 2010.
  IJAC
  Details     BibTeX     Download: (unavailable)

• Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin. Machine Learning for On-Line Hardware Reconfiguration. In The 20th International Joint Conference on Artificial Intelligence, pp. 1113–1118, January 2007.
  IJCAI-07
  Details     BibTeX     Download: [pdf] (98.6kB )  [ps] (191.7kB )  

• Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, and Mike Dahlin. Towards Self-Configuring Hardware for Distributed Computer Systems. In The Second International Conference on Autonomic Computing, pp. 241–249, June 2005.
  ICAC-05
  A revised version of the paper appeared on IBM's Developer Works website
  Details     BibTeX     Download: [pdf] (74.0kB )  [ps] (104.6kB )  

• Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin. Adapting to Workload Changes Through On-The-Fly Reconfiguration. Technical Report UT-AI-TR-06-330, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2006.
  At ftp://ftp.cs.utexas.edu/pub/AI-Lab/tech-reports/UT-AI-TR-06-330.pdf
  Details     BibTeX     Download: (unavailable)

Yu

• Ronggang Yu and Peter Stone. Performance Analysis of a Counter-intuitive Automated Stock-Trading Strategy. In Proceedings of the Fifth International Conference on Electronic Commerce, Pittsburgh, PA, October 2003.
  ICEC-2003
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