Stone, Peter - Department of Computer Sciences, University of Texas at Austin

• UT Austin Computer Sciences Technical Report AI0901, February 2009.
• In The Fifth Workshop on Agents in Traffic and Transportation Multiagent Systems (ATT 08), pp. 7885, Estoril, Portugal, May 2008.
• Anticipation: A Key for Collaboration in a Team of Agents \Lambda
• In Machine Learning, 84(12):205247, 2011.
• In Engineering Applications of Artificial Intelligence, 17(7):855-869, 2004.
• http://adb.sagepub.com/ Adaptive Behavior
• The CMUnited-97 Simulator Team Peter Stone and Manuela Veloso
• In IEEE International Conference on Robotics and Automation (ICRA 08), Pasadena, CA, May 2008.
• To appear in The Fifth Workshop on Humanoid Soccer Robots (HSR-10), Nashville, TN, December 2010.
• In AAMAS07 Workshop on Agent Mediated Electronic Commerce (AMEC 07), Honolulu, Hawaii, May 2007.
• TTUT Austin Villa 2009: Naos Across Texas Todd Hester, Michael Quinlan and Peter Stone
• A Polynomial-time Nash Equilibrium Algorithm for Repeated Games
• FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents
• In The Nineteenth National Conference on Artificial Intelligence (AAAI 2004), pp. 611616, San Francisco, CA, July 2004.
• In The Fifth Workshop on Agents in Traffic and Transportation Multiagent Systems (ATT 08), pp. 94101, Estoril, Portugal, May 2008.
• JOURNAL OF PHYSICAL AGENTS, VOL. 2 NO. 2, JUNE 2008 41 InterClassifier Feedback for HumanRobot
• In Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), pp. 935942, 2000.
• To appear in The IEEE Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV 06), Singapore, December 2006.
• To appear in The Fifth International Conference on Knowledge Capture (KCAP 09), Redondo Beach, California, USA, September 2009.
• In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS05), pp. 5359, Utrecht, The Netherlands, July 2005.
• G u e s t E d i t o r s ' I n t r o d u c t i o n Agents and Markets
• Cross-Domain Transfer for Reinforcement Learning Matthew E. Taylor MTAYLOR@CS.UTEXAS.EDU
• In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, Montreal, Canada, June 2009.
• In AAAI08 Workshop on Trading Agent Design and Analysis (TADA 08), Chicago, IL, July 2008.
• Beating a Defender in Robotic Soccer: MemoryBased Learning of a Continuous Function
• Towards SelfConfiguring Hardware for Distributed Computer Systems Jonathan Wildstrom , Peter Stone, Emmett Witchel, Raymond J. Mooney, Mike Dahlin
• Designing safe, profitable automated stock trading agents using evolutionary algorithms
• An Introduction to Inter-task Transfer for Reinforcement Learning Matthew E. Taylor
• Reinforcement Learning with Human Feedback in Mountain Car W. Bradley Knox
• JOURNAL OF PHYSICAL AGENTS, VOL. 2 NO. 2, JUNE 2008 41 Inter-Classifier Feedback for Human-Robot
• In Artificial Intelligence (AIJ), 171:40205, January 2007.
• In AAMAS04 Workshop on Agent Mediated Electronic Commerce (AMEC 04), New York, New York, USA, July 2004.
• The UT Austin Villa 2003 Four-Legged Team Peter Stone, Kurt Dresner, Selim T. Erdo gan, Peggy Fidelman,
• Motion Planning Algorithms for Autonomous Intersection Management TszChiu Au
• In IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, May 2010.
• Overview of RoboCup99 S. Coradeschi 1 , L. Karlsson 1 , P. Stone 2 , T. Balch 3 , G. Kraetzschmar 4 and M. Asada 5
• In Daniele Nardi, Martin Riedmiller and Claude Sammut, editors, RoboCup2004: Robot Soccer World Cup VIII, pp. 636644, Springer Verlag, Berlin, 2005.
• In Engineering Applications of Artificial Intelligence, 17(7):855869, 2004.
• To appear in RoboCup-2006: Robot Soccer World Cup X (RoboCup 2006), Autonomous Learning of
• In AAMAS-04 Workshop on Agent Mediated Electronic Commerce (AMEC 04), New York, New York, USA, July 2004.
• INFORMS Journal on Computing Vol. 22, No. 3, Summer 2010, pp. 353370
• In EC10 Workshop on Trading Agent Design and Analysis (TADA 10), Cambridge, MA, June 2010.
• In AAMAS 2007 Workshop on Adaptive and Learning Agents (ALAg 2007), pp. 34-39, Honolulu, HI, USA, May 2007.
• In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 06), Boston, MA, July 2006.
• In Proceedings of the TwentySecond Conference on Artificial Intelligence (AAAI07), Vancouver, Canada, July 2007.
• Performance Analysis of Counterintuitive Automated StockTrading Agent
• In Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 11), Taipei, Taiwan, May 2011.
• In Proceedings of the TwentyFirst National Conference on Artificial Intelligence (AAAI 06), pp. 518523, Boston, MA, July 2006.
• In AAAI-08 Workshop on Trading Agent Design and Analysis (TADA 08), Chicago, IL, July 2008.
• Progress in Learning 3 vs. 2 Keepaway Gregory Kuhlmann and Peter Stone
• The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
• To appear in The European Conference on Machine Learning (ECML 2009), Bled, Slovenia, September 2009.
• In The Eighteenth International Conference on Machine Learning (ICML 2001) pp. 537-544, Williamstown, MA, USA, June 2001.
• In Visser, Ribeiro, Ohashi, Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, pp. 171--183, Springer Berlin / Heidelberg, 2008.
• To appear in Journal of Machine Learning Research, Evolutionary Function Approximation for Reinforcement Learning
• In Proceedings of the TwentyFirst National Conference on Artificial Intelligence (AAAI06), Boston, MA, July 2006.
• A MultiRobot System for Continuous Area Sweeping Tasks
• ATT-CMUnited-2000: Third Place Finisher in the Robocup-2000 Simulator League
• Layered Disclosure: Revealing Agents' Internals Patrick Riley Peter Stone y Manuela Veloso
• Predictive Memory for an Inaccessible Environment Mike Bowling Peter Stone Manuela Veloso
• UT Austin Computer Sciences Technical Report AI07348, September 2007.
• In Ramon Lopez de Mantaras and Enric Plaza, editors, 17th International Conference on Machine Learning (ECML 2000), pp. 369381, Springer Verlag, May/June 2000.
• To appear in Gedas Adomavicius and Alok Gupta, editors, Handbooks in Information Systems Series: Business Computing, Elsevier, 2007.
• The 2001 Trading Agent Competition Michael P. Wellman
• To appear in Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 10), Toronto, Canada, May 2010.
• and machines, on-board autonomy, human control, and ground automation.
• Journal of Artificial Intelligence Research 31 (2008) 591-656 Submitted 11/07; published 3/08 A Multiagent Approach to
• In AAMAS 2009 workshop on Agent Mediated Electronic Commerce (AMEC 2009), Leading a Best-Response Teammate in an Ad Hoc Team
• Team-Partitioned, Opaque-Transition Reinforcement Learning Peter Stone and Manuela Veloso
• To appear in Gedas Adomavicius and Alok Gupta, editors, Handbooks in Information Systems Series: Business Computing, Elsevier, 2007.
• In ICAPS-07 Workshop on AI Planning and Learning (AIPL-07), Providence, RI, September 2007.
• In Connection Science (Special Issue on Developmental Robotics), 18(2): 97119, 2006.
• To appear in The European Conference on Machine Learning (ECML 2009), Bled, Slovenia, September 2009.
• In SIGecom Exchanges, 4(3):1928, 2004.
• Multiagent Competitions and Research: Lessons from RoboCup and TAC
• and machines, onboard autonomy, human control, and ground automation.
• In Proceedings of the TwentyFirst National Conference on Artificial Intelligence (AAAI 06), Boston, MA, July 2006.
• In Baltes, Lagoudakis, Naruse, Gidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 140152, Springer, 2010.
• Multiagent Systems: A Survey from a Machine Learning Perspective
• Journal of Artificial Intelligence Research 31 (2008) 591656 Submitted 11/07; published 3/08 A Multiagent Approach to
• In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, Arlington, Virginia, November 2007.
• To appear in The Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 08), Estoril, Portugal, May 2008.
• Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer
• In Proceedings of the TwentySeventh International Conference on Machine Learning (ICML 10), Haifa, Israel, June 2010.
• In Fifth Workshop on Humanoid Soccer Robots (Humanoids 2010), Nasville, TN, USA, December 2010.
• Journal of Machine Learning Research 8 (2007) 21252167 Submitted 11/06; Revised 4/07; Published 9/07 Transfer Learning via InterTask Mappings
• In The Fifth Workshop on Agents in Traffic and Transportation Multiagent Systems (ATT 08), pp. 94-101, Estoril, Portugal, May 2008.
• In Baltes, Lagoudakis, Naruse, Gidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 153--165, Springer, 2010.
• In K. Tuyls, et al, editors, LAMAS 2005, Lecture Notes In Artificial Intelligence, Springer Verlag, Berlin, 2006.
• In The Twentieth International Joint Conference on Artificial Intelligence (IJCAI 07), pp. 1263-1268, Hyderabad, India, January 2007.
• In Fuernkranz, Joachims, editors, Proceedings of the Twentyseventh International Conference on Machine Learning, pp. 511518, Omnipress, 2010.
• In Machine Learning, 59(1):530, 2005.
• In The Sixth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 07), Honolulu, Hawai'i, May 2007.
• To appear in Adaptive Behavior, 19(1):1639, 2011.
• The CMUnited99 Champion Simulator Team Peter Stone 1 , Patrick Riley 2 , and Manuela Veloso 2
• The UT Austin Villa 2005 RoboCup Four-Legged Team Peter Stone, Kurt Dresner, Peggy Fidelman,
• In Proc. Symposium on Abstraction, Reformulation, and Approximation (SARA-05) Function Approximation via Tile Coding
• To Appear in Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 2006.
• TheCMUnited-98ChampionSmall-RobotTeam Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone
• Continuous Area Sweeping: A Task Definition and Initial Approach
• Task Decomposition, Dynamic Role Assignment, and LowBandwidth Communication for RealTime Strategic
• To appear in The European Conference on Machine Learning (ECML 2010), Barcelona, Spain, September 2010.
• In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004), pp. 26192624, New Orleans, LA, May 2004.
• In the Ninth International Conference on Autonomous Agents and Multiagent Systems Adaptive Learning Agents Workshop (AAMAS ALA), Toronto, Canada, May 2010.
• Function Approximation via Tile Coding: Automating Parameter Choice
• In The AAAI04 Workshop on Supervisory Control of Learning and Adaptive Systems (AAAI04), Guiding a Reinforcement Learner with Natural Language Advice
• In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 09), Budapest, Hungary, May 2009.
• JOURNAL OF PHYSICAL AGENTS: MULTIROBOT SYSTEMS, VOL. 2, NO. 1, MARCH 2008 15 Multiagent Interactions in Urban Driving
• To appear in The Fifth International Conference on Knowledge Capture (K-CAP 09), Redondo Beach, California, USA, September 2009.
• Keeping the Ball from CMUnited99 David McAllester and Peter Stone
• To appear in Autonomous Robots Journal, StructureBased Color Learning on a Mobile Robot
• Three Automated StockTrading Agents: A Comparative Study
• In ICAPS07 Workshop on AI Planning and Learning (AIPL07), Providence, RI, September 2007.
• In Proceedings of the TwentyFirst National Conference on Artificial Intelligence (AAAI06), Boston, MA, July 2006.
• The CMUnited98 Champion SmallRobot Team Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone
• In AAMAS 2007 Workshop on Adaptive and Learning Agents (ALAg 2007), pp. 3439, Honolulu, HI, USA, May 2007.
• Using Decision Tree Confidence Factors for Multiagent Control
• In The Fourth Workshop on Agents in Traffic and Transportation (ATT 06), Hakodate, Japan, May 2006.
• In The First Conference on Artificial General Intelligence (AGI-08), Memphis, Tennessee, March 2008.
• Using Testing to Iteratively Improve Training Peter Stone Manuela Veloso
• A Multi-Robot System for Continuous Area Sweeping Tasks
• A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server
• In SIGecom Exchanges, 5(3):110, 2005.
• To appear in The Fifth Workshop on Humanoid Soccer Robots (HSR10), Nashville, TN, December 2010.
• In The Autonomous Agents and MultiAgent Systems Conference (AAMAS07), Honolulu, Hawaii, May 2007.
• In Proceedings of the 25th International Conference on Machine Learning (ICML 08), Helsinki, Finland,, July 2008.
• The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2006), pp. 13211328, Seattle, WA, July 2006. Comparing Evolutionary and Temporal Difference
• To appear in Proceedings of The Eighteenth European Conference on Machine Learning (ECML07), Warsaw, Poland, September 2007.
• In Daniele Nardi, Martin Riedmiller and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, pp. 636--644, Springer Verlag, Berlin, 2005.
• To appear in The 25th International Conference on Machine Learning (ICML 08), Helsinki, Finland, July 2008.
• In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 1724, IEEE, 2011.
• To appear in AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers (AAAI), Palo Alto, United States, March 2009.
• The CMUnited97 Simulator Team Peter Stone and Manuela Veloso
• Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning
• Machine Learning for OnLine Hardware Reconfiguration Keywords: Adaptive systems, Autonomous agents, Applications
• In the Proceedings of the 28th International Conference on Machine Learning, Bellevue, Washingtion, USA, 2011.
• In Fuernkranz, Joachims, editors, Proceedings of the Twenty-seventh International Conference on Machine Learning, pp. 511--518, Omnipress, 2010.
• To appear in Adaptive Behavior, 19(1):16-39, 2011.
• Austin Villa 2010 Standard Platform Team Report
• In The European Conference on Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, September 2008.
• To appear in The European Conference on Machine Learning (ECML 2010), Barcelona, Spain, September 2010.
• Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report
• In The European Conference on Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, September 2008.
• Bringing Simulation to Life: A Mixed Reality Autonomous Intersection Michael Quinlan, TszChiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone
• Preprint 0 (2000) 1{36 1 The First International Trading Agent Competition
• To appear in The TwentyFirst National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, July 2006.
• To appear in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), January 2007.
• CrossDomain Transfer for Reinforcement Learning Matthew E. Taylor MTAYLOR@CS.UTEXAS.EDU
• In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup2004, pp. 297309, Springer Verlag, 2005.
• Value Function Transfer for General Game Playing Bikramjit Banerjee BANERJEE@CS.UTEXAS.EDU
• To appear in The IEEE Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV 06), Singapore, December 2006.
• In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, Springer Verlag, 2011.
• In Proceedings of the Twenty-Seventh International Conference on Machine Learning (ICML 10), Haifa, Israel, June 2010.
• In The Ninth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), To Teach or not to Teach?
• In arXiv e-Prints 1105.1749, A Real-Time Model-Based Reinforcement Learning
• Self-enforcing Strategic Demand Reduction Paul S. A. Reitsma, Peter Stone, Janos A. Csirik, and Michael L. Littman
• ATTUnited-2001: Using Heterogeneous Players Peter Stone
• To appear in Autonomous Agents and Multiagent Systems (AAMAS), Taipei, Taiwan, May 2011.
• To appear in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML) (ECML 08), Antewrp, Belgium,, September 2008.
• The CMUnited98 Champion Simulator Team ? Peter Stone, Manuela Veloso, and Patrick Riley
• Interactive, RepairBased Planning and Scheduling for Shuttle Payload Operations
• In Proceedings of the Second International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS 03), pp. 193200, Melbourne, Australia, July 2003.
• In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), Marina Del Rey, California, USA, June 2009.
• In The University of Texas at Austin, Department of Computer Sciences, AI Technical Report 06-337, December 2006.
• The CMUnited-97 Small Robot Team Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim
• To appear in Proceedings of IROS 2009-IEEE/RSJ International Conference on Intelligent RObots and Systems (IROS 09), St. Louis, USA, October 2009.
• To appear in Proceedings of IROS 2009IEEE/RSJ International Conference on Intelligent RObots and Systems (IROS 09), St. Louis, USA, October 2009.
• Amy Greenwald Brown University
• In The IEEE International Conference on Robotics and Automation (ICRA 05), Barcelona, Spain, April 2005.
• In Tumer, Yolum, Sonenberg, Stone, editors, Proc. 10th Int. Conf. Autonomous Agents and Multiagent Systems, pp. 769776, IFAAMAS, 2011.
• In AAMAS 2009 workshop on Agent Mediated Electronic Commerce (AMEC 2009), Leading a BestResponse Teammate in an Ad Hoc Team
• To appear in Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 10), Toronto, Canada, May 2010.
• Iterative Repair Algorithm The following is the algorithm for the schedule repairer written in a Clike pseudocode.
• To Appear in Proceedings of the TwentyFirst National Conference on Artificial Intelligence (AAAI06), Boston, MA, July 2006.
• To appear in AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers (AAAISS09), Palo Alto, United States, March 2009.
• The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
• Keepaway Soccer: From Machine Learning Testbed to Benchmark
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 05), pp. 12251232, Washington, D.C., June 2005.
• In The Ninth International Conference on Development and Learning (ICDL 2010), Ann Arbor, Michigan, August 2010.
• In Proc. 20th National Conference on Artificial Intelligence (AAAI-05), July 913, 2005, Pittsburgh, USA. Improving Action Selection in MDP's via Knowledge Transfer
• Multiagent Systems: A Survey from a Machine Learning Perspective
• In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006, Springer Verlag, 2007.
• Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function
• In the Proceedings of the 28th International Conference on Machine Learning, Bellevue, Washingtion, USA, 2011.
• Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning
• In Visser, Ribeiro, Ohashi, and Dellaert, editors, RoboCup2007, Springer Verlag, 2008.
• In The Ninth International Conference on Development and Learning (ICDL 2010), Ann Arbor, Michigan, August 2010.
• To appear in Proceedings of the TwentyFifth Conference on Artificial Intelligence (AAAI 11), San Francisco, USA, August 2011.
• In The Fourth Workshop on Agents in Traffic and Transportation (ATT 06), Hakodate, Japan, May 2006.
• Building a Dedicated Robotic Soccer System Sorin Achim Peter Stone Manuela Veloso
• In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 03), pp. 193-200, Melbourne, Australia, July 2003.
• In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 05), pp. 752-757, Edinburgh, Scotland, UK, August 2005.
• Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic
• In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 17--24, IEEE, 2011.
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 05), pp. 1225-1232, Washington, D.C., June 2005.
• In The First Conference on Artificial General Intelligence (AGI08), Memphis, Tennessee, March 2008.
• In The TwentyFourth Conference on Artificial Intelligence (AAAI), Ad Hoc Autonomous Agent Teams: Collaboration without
• In Baltes, Lagoudakis, Naruse, Gidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 153165, Springer, 2010.
• Continuous Area Sweeping: A Task Definition and Initial Approach
• Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer
• In IEEE International Conference on Robotics and Automation (ICRA 05), Barcelona, April 2005.
• In Visser, Ribeiro, Ohashi, and Dellaert, editors, RoboCup-2007, Springer Verlag, 2008.
• To appear in IEEE International Conference on Robotics and Automation (ICRA '08), Pasadena, CA, May 2008.
• In The Fifth Workshop on Agents in Traffic and Transportation Multiagent Systems (ATT 08), pp. 78-85, Estoril, Portugal, May 2008.
• The RoboCup Synthetic Agent Challenge 97 Hiroaki Kitano
• In The Sixth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 07), Honolulu, Hawai'i, May 2007.
• In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-05), pp. 53-59, Utrecht, The Netherlands, July 2005.
• In The Autonomous Agents and Multi-Agent Systems Conference (AAMAS-08), Estoril, Portugal, May 2008.
• In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada, July 2007.
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006), pp. 1321-1328, Seattle, WA, July 2006 Comparing Evolutionary and Temporal Difference
• In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pp. 880-885, Pittsburgh, PA, July 2005.
• AI Technical Report AI-TR-07-339, University of Texas at Austin, 2007. 1 Adaptive Tile Coding for Value Function Approximation
• In The IEEE International Conference on Robotics and Automation (ICRA 05), Barcelona, Spain, April 2005.
• In The Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 04) pp. 530537, New York, New York, USA, July 2004.
• In The University of Texas at Austin, Department of Computer Sciences, AI Technical Report 06337, December 2006.
• To appear in Adaptive Behavior, 15(1), 2007. Empirical Studies in Action Selection with Reinforcement Learning
• Defining and Using Ideal Teammate and Opponent Agent Models Peter Stone
• In The Twentieth National Conference on Artificial Intelligence (AAAI 05), Pittsburgh, USA, July 2005.
• This version of the paper is modified slightly from the version that appeared in the o#cial ICML proceed
• In Proceedings of the 6th International Conference on Autonomous Agents and Multiagent Systems, pp. 650657, ACM, New York, NY, USA, 2007.
• In IEEE 7th International Conference on Development and Learning (ICDL 08), Monterey, California, USA,, August 2008.
• The CMUnited97 Robotic Soccer Team: Perception and MultiAgent Control
• To appear in The Autonomous Agents and Multiagent Systems Conference (AAMAS07), Honolulu, Hawaii, USA, May 2007.
• The RoboCup Synthetic Agent Challenge 97 Hiroaki Kitano \Lambda Milind Tambe Peter Stone
• To appear in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), January 2007.
• Generalized Domains for Empirical Evaluations in Reinforcement Learning
• Towards employing PSRs in a continuous domain Nicholas K. Jong and Peter Stone
• Keepaway Soccer: From Machine Learning Testbed to Benchmark
• To appear in The Autonomous Agents and Multiagent Systems Conference (AAMAS-07), Honolulu, Hawaii, USA, May 2007.
• Amy Greenwald Brown University
• In EC-10 Workshop on Trading Agent Design and Analysis (TADA 10), Cambridge, MA, June 2010.
• In Connection Science (Special Issue on Developmental Robotics), 18(2): 97-119, 2006.
• In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI05), pp. 880885, Pittsburgh, PA, July 2005.
• In The Autonomous Agents and MultiAgent Systems Conference (AAMAS07), Estoril, Portugal, May 2008.
• In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 05), pp. 752757, Edinburgh, Scotland, UK, August 2005.
• In The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 05), Edmonton, Canada, August 2005.
• To appear in RoboCup2006: Robot Soccer World Cup X (RoboCup 2006), Autonomous Learning of
• Auton Agent MultiAgent Syst DOI 10.1007/s1045800991002
• Boulder. DATACHASER is a science payload, with a primary focus on solar
• Journal of Machine Learning Research 10 (2009) 16331685 Submitted 6/08; Revised 5/09; Published 7/09 Transfer Learning for Reinforcement Learning Domains: A Survey
• Journal of Machine Learning Research 10 (2009) 1633-1685 Submitted 6/08; Revised 5/09; Published 7/09 Transfer Learning for Reinforcement Learning Domains: A Survey
• In Tumer, Yolum, Sonenberg, Stone, editors, Proc. 10th Int. Conf. Autonomous Agents and Multiagent Systems, pp. 769--776, IFAAMAS, 2011.
• In Ramon Lopez de Mantaras and Enric Plaza, editors, 17th International Conference on Machine Learning (ECML 2000), pp. 369-381, Springer Verlag, May/June 2000.
• Performance Analysis of a Counter-intuitive Automated Stock-Trading Agent
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 06), pp. 1577-1584, Seattle, WA, July 2006.
• Machine Learning: Proceedings of the Nineteenth International Conference, 2002. Modeling Auction Price Uncertainty
• In The Ninth International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), To Teach or not to Teach?
• UserGuided Interleaving of Planning and Peter Stone Manuela Veloso
• Using Testing to Iteratively Improve Training Peter Stone Manuela Veloso
• Designing safe, profitable automated stock trading agents using evolutionary algorithms
• Two Stock-Trading Agents: Market Making and Technical Analysis
• In Visser, Ribeiro, Ohashi and Dellaert, editors, RoboCup2007. Robot Soccer World Cup XI, pp. 116, Springer Verlag, 2008.
• To appear in Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI 11), San Francisco, USA, August 2011.
• Journal of Arti cial Intelligence Research 15 (2001) 189-? Submitted 2/01; published 9/01 ATTac-2000: An Adaptive Autonomous Bidding Agent
• To Appear in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, Jan 612 2007.
• In Lakemeyer, Sklar, Sorrenti, Takahashi, editors, RoboCup2006: Robot Soccer World Cup X, pp. 7285, Springer Verlag, 2007.
• In Proc. 20th National Conference on Artificial Intelligence (AAAI05), July 9--13, 2005, Pittsburgh, USA. Improving Action Selection in MDP's via Knowledge Transfer
• In Proceedings of the International Conference on Electronic Commerce (ICEC 06), Fredericton, Canada, August 2006.
• To appear in Journal of Machine Learning Research, Evolutionary Function Approximation for Reinforcement Learning
• To appear in Robotics and Autonomous Systems (RAS) Journal, Color Learning and Illumination Invariance on
• In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 06), Cumbria, UK, June 2006.
• An Architecture for Action Selection in Robotic Soccer Peter Stone and David McAllester
• Building a Dedicated Robotic Soccer System Sorin Achim Peter Stone Manuela Veloso
• AI Technical Report AITR07339, University of Texas at Austin, 2007. 1 Adaptive Tile Coding for Value Function Approximation
• To appear in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 07), San Diego, USA, OctoberNovember 2007.
• An Introduction to Intertask Transfer for Reinforcement Learning Matthew E. Taylor
• UT Austin Villa 2008: Standing On Two Legs Todd Hester, Michael Quinlan and Peter Stone
• April 5, 2007 20:57 WSPC/INSTRUCTION FILE funcapp International Journal on Arti cial Intelligence Tools
• The CMUnited97 Small Robot Team Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim
• In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 06), pp. 15771584, Seattle, WA, July 2006.
• In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup2006, Springer Verlag, 2007.
• In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup 2004, Robot Soccer World Cup VIII, pp. 196208, Springer Verlag, Berlin, Germany, 2005.
• In AAMAS 2010 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), Toronto, Canada, May 2010.
• Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems
• To appear in IEEE International Conference on Robotics and Automation (ICRA '08), Pasadena, CA, May 2008.
• Learning Predictive State Representations Satinder Singh baveja@eecs.umich.edu
• The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age
• In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, pp. 749756, IFAAMAS, Richland, SC, USA, 2009.
• Enforcing Liveness in Autonomous Traffic Management Tsz-Chiu Au
• In RoboCup International Symposium 2010 (Robocup 2010), Singapore, June 2010.
• Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned
• In Machine Learning, 84(1-2):205-247, 2011.
• This version of the paper is modified slightly from the version that appeared in the official ICML proceed-
• In IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, May 2010.
• In AAMAS 2010 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), Toronto, Canada, May 2010.
• In The Twenty-Fourth Conference on Artificial Intelligence (AAAI), Ad Hoc Autonomous Agent Teams: Collaboration without
• To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams
• To appear in The European Conference on Machine Learning (ECML 2009), Bled, Slovenia, September 2009.
• In Baltes, Lagoudakis, Naruse, Gidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 140--152, Springer, 2010.
• In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, pp. 749--756, IFAAMAS, Richland, SC, USA, 2009.
• UT Austin Computer Sciences Technical Report AI09-01, February 2009.
• To appear in Robotics and Autonomous Systems (RAS) Journal, Color Learning and Illumination Invariance on
• To appear in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (EC Antewrp, Belgium,, September 2008.
• UT Austin Villa 2008: Standing On Two Legs Todd Hester, Michael Quinlan and Peter Stone
• To appear in The 25th International Conference on Machine Learning (ICML 08), Helsinki, Finland, July 2008.
• In IEEE 7th International Conference on Development and Learning (ICDL 08), Monterey, California, USA,, August 2008.
• In Proceedings of the 25th International Conference on Machine Learning (ICML 08), Helsinki, Finland,, July 2008.
• In Lakemeyer, Sklar, Sorrenti, Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, pp. 72--85, Springer Verlag, 2007.
• In Proceedings of the 6th International Conference on Autonomous Agents and Multiagent Systems, pp. 650--657, ACM, New York, NY, USA, 2007.
• UT Austin Computer Sciences Technical Report AI07-348, September 2007.
• To appear in Autonomous Robots Journal, Structure-Based Color Learning on a Mobile Robot
• To appear in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 07), San Diego, USA, October-November 2007.
• In International Conference on Robotics and Automation (ICRA 07), pp. 3915-3920, Rome, April 2007.
• Journal of Machine Learning Research 8 (2007) 2125-2167 Submitted 11/06; Revised 4/07; Published 9/07 Transfer Learning via Inter-Task Mappings
• To appear in Adaptive Behavior, 15(1), 2007. Empirical Studies in Action Selection with Reinforcement Learning
• Machine Learning for On-Line Hardware Reconfiguration Keywords: Adaptive systems, Autonomous agents, Applications
• To appear in The Twenty-First National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, July 2006.
• A Social Reinforcement Learning Agent Charles Lee Isbell, Jr. Christian R. Shelton
• In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 2006.
• In Proceedings of the International Conference on Electronic Commerce (ICEC 06), Fredericton, Canada, August 2006.
• From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty
• In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 06), pp. 518-523, Boston, MA, July 2006.
• Adapting to Workload Changes Through On-The-Fly Reconfiguration
• In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 05), pp. 471-477, Utrecht, The Netherlands, July 2005.
• In The IJCAI-2005 Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains (IJCAI 2005), Edinburgh, Scotland, UK, August 2005.
• Three Automated Stock-Trading Agents: A Comparative Study
• The UT Austin Villa 2005 RoboCup Four-Legged Team Peter Stone, Kurt Dresner, Peggy Fidelman,
• In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004, pp. 297-309, Springer Verlag, 2005.
• In Machine Learning, 59(1):5-30, 2005.
• In The Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 04) pp. 530-537, New York, New York, USA, July 2004.
• In The Nineteenth National Conference on Artificial Intelligence (AAAI 2004), pp. 611-616, San Francisco, CA, July 2004.
• In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004), pp. 2619-2624, New Orleans, LA, May 2004.
• In The AAAI-04 Workshop on Supervisory Control of Learning and Adaptive Systems (AAAI-04), Guiding a Reinforcement Learner with Natural Language Advice
• xFallSoccerTask xSoccerTask getUpTask
• Soccer Server Client Socket
• Keeping the Ball from CMUnited-99 David McAllester and Peter Stone
• Layered Disclosure: Revealing Agents' Internals Patrick Riley Peter Stone Manuela Veloso
• Defining and Using Ideal Teammate and Opponent Agent Models Peter Stone
• In Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), pp. 935-942, 2000.
• The CMUnited-99 Champion Simulator Team Peter Stone1
• The CMUnited-99 Champion Simulator Team Peter Stone1
• The CMUnited-98 Champion Simulator Team ? Peter Stone, Manuela Veloso, and Patrick Riley
• Anticipation: A Key for Collaboration in a Team of Agents
• The RoboCup Physical Agent Challenge: Phase I Minoru Asada Peter Stone Hiroaki Kitano Barry Werger
• A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server
• Using Decision Tree Con dence Factors for Multiagent Control
• Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations
• Boulder. DATA-CHASER is a science payload, with a primary focus on solar
• Iterative Repair Algorithm The following is the algorithm for the schedule repairer written in a C-like pseudo-code.
• Predictive Memory for an Inaccessible Environment Mike Bowling Peter Stone Manuela Veloso
• User-Guided Interleaving of Planning and Peter Stone Manuela Veloso
• The Need for Di erent Domain-Independent Heuristics Peter Stone and Manuela Veloso and Jim Blythe
• Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems
• To appear in The Seventh Symposium on Abstraction, Reformulation, and Approximation (SARA 07), Whistler, Canada, July 2007.
• In SIGecom Exchanges, 4(3):19-28, 2004.
• In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 09), Budapest, Hungary, May 2009.
• To appear in The Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 08), Estoril, Portugal, May 2008.
• In International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), Marina Del Rey, California, USA, June 2009.
• To appear in The 8th International Symposium on Distributed Autonomous Robotic Systems (DARS), Minneapolis, Minnesota, USA, July 2006.
• Austin Villa 2010 Standard Platform Team Report
• In arXiv ePrints 1105.1749, A RealTime ModelBased Reinforcement Learning
• The CMUnited99 Champion Simulator Team Peter Stone 1 , Patrick Riley 2 , and Manuela Veloso 2
• In IEEE International Conference on Robotics and Automation (ICRA 08), Pasadena, CA, May 2008.
• The RoboCup Physical Agent Challenge: Phase I Minoru Asada Peter Stone Hiroaki Kitano Barry Werger
• In Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, Montreal, Canada, June 2009.
• To appear in The Seventh Symposium on Abstraction, Reformulation, and Approximation (SARA 07), Whistler, Canada, July 2007.
• In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 05), pp. 471477, Utrecht, The Netherlands, July 2005.
• In Visser, Ribeiro, Ohashi, Dellaert, editors, RoboCup2007: Robot Soccer World Cup XI, pp. 171183, Springer Berlin / Heidelberg, 2008.
• Reinforcement Learning for RoboCup-Soccer Keepaway Peter Stone
• In SIGecom Exchanges, 5(3):1-10, 2005.
• To appear in Proceedings of The Eighteenth European Conference on Machine Learning (ECML-07), Warsaw, Poland, September 2007.
• To Appear in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, Jan 6-12 2007.
• Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning
• In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 2006.
• In Fifth Workshop on Humanoid Soccer Robots (Humanoids 2010), Nasville, TN, USA, December 2010.
• In The Autonomous Agents and Multi-Agent Systems Conference (AAMAS-07), Honolulu, Hawaii, May 2007.
• In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, Springer Verlag, 2011.
• Value Function Transfer for General Game Playing Bikramjit Banerjee BANERJEE@CS.UTEXAS.EDU
• In The International Joint Conference on Artificial Intelligence (IJCAI 07), Hyderabad, India, January 2007.
• To appear in The European Conference on Machine Learning (ECML 2009), Bled, Slovenia, September 2009.
• In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, Arlington, Virginia, November 2007.
• TeamPartitioned, OpaqueTransition Reinforcement Learning Peter Stone and Manuela Veloso \Lambda
• In the Ninth International Conference on Autonomous Agents and Multiagent Systems -Adaptive Learning Agents Workshop (AAMAS -ALA), Toronto, Canada, May 2010.
• In Visser, Ribeiro, Ohashi and Dellaert, editors, RoboCup-2007. Robot Soccer World Cup XI, pp. 1-16, Springer Verlag, 2008.
• In Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 11), Taipei, Taiwan, May 2011.
• Auton Agent Multi-Agent Syst DOI 10.1007/s10458-009-9100-2
• Designing Adaptive Trading Agents DAVID PARDOE
• To appear in the Plan, Activity, and Intent Recognition Workshop at AAAI-11 (PAIR-11), San Francisco, CA, August 2011.
• To appear in Proceedings of the RoboCup International Symposium 2011 (RoboCup 2011), Istanbul, Turkey, July 2011.
• Comparing Agents' Success against People in Security Domains and Sarit Kraus1,2
• To appear in Autonomous Agents and Multiagent Systems -Adaptive Learning Agents Workshop (AAMAS -ALA), Taipei, Taiwan, May 2011.
• Augmenting Reinforcement Learning with Human Feedback W. Bradley Knox BRADKNOX@CS.UTEXAS.EDU
• Autonomous Intersection Management: MultiIntersection Optimization Matthew Hausknecht, TszChiu Au, and Peter Stone
• To appear in Proceedings of the RoboCup International Symposium 2011 (RoboCup 2011), Istanbul, Turkey, July 2011.
• To appear in Autonomous Agents and Multiagent Systems Adaptive Learning Agents Workshop (AAMAS ALA), Taipei, Taiwan, May 2011.
• Augmenting Reinforcement Learning with Human Feedback W. Bradley Knox BRADKNOX@CS.UTEXAS.EDU
• To appear in the Plan, Activity, and Intent Recognition Workshop at AAAI11 (PAIR11), San Francisco, CA, August 2011.
• Dynamic Lane Reversal in Traffic Management Matthew Hausknecht, TszChiu Au, Peter Stone
• Setpoint Scheduling for Autonomous Vehicle Controllers TszChiu Au, Michael Quinlan, and Peter Stone
• Reinforcement Learning from Simultaneous Human and W. Bradley Knox and Peter Stone
• Austin Villa 2011: Sharing is Caring
• To appear in Proceedings of the International Conference on Robotics and Automation (ICRA 12), St Paul, Minnesota, May 2012.
• Learning From Feedback on Actions Past and Intended W. Bradley Knox
• To appear in Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 12), Valencia, Spain, June 2012.
• To appear in Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012.
• In IEEE International Conference on Robotics and Automation (ICRA 2012), St. Paul, Minnesota, USA, May 2012.
• To appear in Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012.
• Learning From Feedback on Actions Past and Intended W. Bradley Knox
• To appear in Proceedings of the International Conference on Robotics and Automation (ICRA 12), St Paul, Minnesota, May 2012.
• To appear in Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 12), Valencia, Spain, June 2012.
• Austin Villa 2011: Sharing is Caring
• To appear in Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012.
• Reinforcement Learning from Simultaneous Human and W. Bradley Knox and Peter Stone
• In IEEE International Conference on Robotics and Automation (ICRA 2012), St. Paul, Minnesota, USA, May 2012.
• To appear in Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012.