Peter Stone's Selected Publications
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Classified by Topic •
Classified by Publication Type •
Sorted by Date •
Sorted by First Author Last Name •
Classified by Funding Source •
Classified by Topic
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Autonomic Computing
•
Autonomous Traffic Management
•
Game Theory
•
General Game Playing
•
Machine Learning
•
Machine Learning: Layered Learning
•
Machine Learning: Markov Decision Processes
•
Machine Learning: NeuroEvolution
•
Machine Learning: Predictive State Representations
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Machine Learning: Reinforcement Learning
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Machine Learning: Transfer Learning
•
Multi-Robot Systems
•
Multiagent Systems
•
Multiagent Systems: Opponent Modeling
•
Multiagent Systems: Social Agents
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Planning
•
Robotics
•
Robotics: Autonomous Driving
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Robotics: Quadruped Robots
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Robotics: Real Robot Soccer
•
Robotics: RoboCup
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Robotics: Simulated Robot Soccer
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Robotics: Vision
•
Trading Agents
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Trading Agents: Auctions
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Trading Agents: Mechanism Design
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Trading Agents: Supply Chain Management
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Autonomic Computing
- 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
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[pdf]
(98.6kB
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[ps]
(191.7kB
)
- Jonathan Wildstrom, Peter Stone,
and Emmett Witchel. Autonomous Return on Investment Analysis of Additional
Processing Resources. In 2007 Workshop on Adaptive Methods in Autonomic Computing
Systems, June 2007.
AMACS-07
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[pdf]
(154.7kB
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[ps]
(275.5kB
)
- 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 http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2006.html#06-330
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(unavailable)
- 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
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[pdf]
(74.0kB
)
[ps]
(104.6kB
)
- 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)
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[pdf]
(664.7kB
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[ps]
(1.1MB
)
Autonomous Traffic Management
- 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.
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(1.3MB
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- Kurt Dresner and Peter Stone.
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles. In ATT08, pp. 78–85, Estoril,
Portugal, May 2008.
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[pdf]
(836.3kB
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(1.3MB
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- Mark VanMiddlesworth, Kurt Dresner, and Peter
Stone. Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles. In ATT08, pp. 94–101,
Estoril, Portugal, May 2008.
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[pdf]
(161.4kB
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[ps]
(305.1kB
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- 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
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[pdf]
(189.9kB
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[ps]
(287.7kB
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- 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.
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(79.9kB
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- 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
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(81.4kB
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[ps]
(168.2kB
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- 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.
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[pdf]
(227.5kB
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[ps]
(376.8kB
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- 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
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[pdf]
(143.5kB
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[ps]
(216.7kB
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- 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
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[pdf]
(233.8kB
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[ps]
(492.0kB
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Game Theory
General Game Playing
- 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
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[pdf]
(118.1kB
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[ps]
(198.5kB
)
- 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.
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[pdf]
(377.0kB
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[ps]
(601.6kB
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- 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
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(172.9kB
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[ps]
(464.0kB
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- 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
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(124.1kB
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[ps]
(156.2kB
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Machine Learning
- Doran Chakraborty and Peter Stone.
Online Multiagent Learning against Memory Bounded Adversaries. In European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, September 2008.
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[pdf]
(232.4kB
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[ps]
(669.2kB
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- 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, Springer Verlag, Berlin, 2008.
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[pdf]
(280.9kB
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[ps]
(1.6MB
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- Nicholas K. Jong and Peter Stone.
Hierarchical Model-Based Reinforcement Learning: \textscR-max + MAXQ. In Proceedings of the Twenty-Fifth International
Conference on Machine Learning, July 2008.
ICML 2008
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[pdf]
(157.5kB
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[ps]
(370.2kB
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- 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
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(136.4kB
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[ps]
(325.7kB
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- 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
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[pdf]
(434.0kB
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[ps]
(1.7MB
)
- 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
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(236.4kB
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[ps]
(1.0MB
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- David Pardoe and Peter Stone.
Adapting Price Predictions in TAC SCM. In AAMAS 2007 Workshop on Agent Mediated Electronic Commerce, 2007.
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(328.7kB
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[ps]
(524.0kB
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- 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.
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(2.0MB
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[ps]
(8.6MB
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- 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
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- Mohan Sridharan and Peter Stone.
Action Selection for Illumination Invariant Color Learning. In The IEEE International Conference on Intelligent
Robots and Systems (IROS), 2007. To Appear.
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(176.5kB
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- 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
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(129.5kB
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(184.9kB
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- 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.
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(101.7kB
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[ps]
(91.7kB
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- 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
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(308.5kB
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[ps]
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- 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
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[pdf]
(98.6kB
)
[ps]
(191.7kB
)
- Jonathan Wildstrom, Peter Stone,
and Emmett Witchel. Autonomous Return on Investment Analysis of Additional
Processing Resources. In 2007 Workshop on Adaptive Methods in Autonomic Computing
Systems, June 2007.
AMACS-07
Details
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[pdf]
(154.7kB
)
[ps]
(275.5kB
)
- 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
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[pdf]
(81.4kB
)
[ps]
(168.2kB
)
- 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
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(444.1kB
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(2.3MB
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- 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 http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2006.html#06-330
Details
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(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
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[pdf]
(245.1kB
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[ps]
(2.1MB
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- 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
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[pdf]
(901.5kB
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[ps]
(6.4MB
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- 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
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(396.1kB
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(5.0MB
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- 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
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[pdf]
(74.0kB
)
[ps]
(104.6kB
)
- 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.
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- 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
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(159.5kB
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- 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.
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(326.9kB
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- 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.
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- 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
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(157.2kB
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(128.0kB
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- 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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(300.1kB
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(1.8MB
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Machine Learning: Layered Learning
- 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)
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(278.8kB
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(566.8kB
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- 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
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- 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
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- 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.
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(152.3kB
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(362.7kB
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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.
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(189.1kB
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(1.2MB
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Machine Learning: Markov Decision Processes
Machine Learning: NeuroEvolution
- 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
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(235.9kB
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[ps]
(562.2kB
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- 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
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(316.7kB
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- 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
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(754.2kB
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(1.4MB
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- 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.
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(181.4kB
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(1.6MB
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Machine Learning: Predictive State Representations
Machine Learning: Reinforcement Learning
- 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, Springer Verlag, Berlin, 2008. To appear.
BEST
PAPER AWARD WINNER at RoboCup International Symposium.
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[pdf]
(457.0kB
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[ps]
(3.0MB
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- Ian Fasel, Michael Quinlan,
and Peter Stone. A General Purpose Task Specification Language for Bootstrap
Learning. Technical Report AI-08-1, The University of Texas at Austin, Department ofComputer Sciences, AI Laboratory,
2008.
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(398.7kB
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(1.9MB
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- 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, Springer Verlag, Berlin, 2008. To appear.
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[pdf]
(200.0kB
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[ps]
(524.3kB
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- 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
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(1.1MB
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- Matthew E. Taylor, Nicholas K. Jong,
and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning.
In Proceedings of the European Conference on Machine Learning and Principles and Pratice of Knowledge Discovery in
Databases (ECML PKDD), September 2008.
ECML-2008
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(304.9kB
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(860.1kB
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- 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
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(233.3kB
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- 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.
AAMAS-2007
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(261.6kB
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(1.0MB
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- 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, pp. 59–71,
Springer Verlag, Berlin, 2007.
Some videos
referenced in the paper.
Details
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[pdf]
(186.9kB
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(1.6MB
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- 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.
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(321.1kB
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- Nicholas K. Jong and Peter Stone.
Model-Based Exploration in Continuous State Spaces. In The Seventh Symposium on Abstraction, Reformulation, and
Approximation, July 2007.
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(324.3kB
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- 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, pp. 72–85, Springer
Verlag, Berlin, 2007.
BEST STUDENT PAPER AWARD WINNER at RoboCup International Symposium.
Some simulations
referenced in the paper.
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[pdf]
(992.2kB
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(1.6MB
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- Shivaram Kalyanakrishnan and Peter
Stone. Batch Reinforcement Learning in a Complex Domain. In The Sixth International Joint Conference on Autonomous
Agents and Multiagent Systems, May 2007.
AAMAS-2007
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(185.0kB
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(392.7kB
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- 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.
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[pdf]
(377.0kB
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[ps]
(601.6kB
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- 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, pp. 98–109, Springer Verlag, Berlin, 2007.
BEST PAPER
AWARD NOMINATION at RoboCup International Symposium.
Some videos
referenced in the paper.
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(1.1MB
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- 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.
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(499.9kB
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- 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
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- 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
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- 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
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- 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
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- Shimon Whiteson, Matthew E. Taylor,
and Peter Stone. Empirical Studies in Action Selection for Reinforcement
Learning. Adaptive Behavior, 15(1):33–50, March 2007.
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- 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.
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(329.4kB
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(942.5kB
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- 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
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- 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
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- 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
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- 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
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- 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.
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- 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.
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Webpage© Springer-Verlag
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- 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.
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- 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
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- 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
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- 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
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- 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
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- 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.
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- 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)
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- Peter Stone. TPOT-RL Applied to Network Routing. In Proceedings of
the Seventeenth International Conference on Machine Learning, pp. 935–942, 2000.
ICML-2000
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- 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
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Machine Learning: Transfer Learning
- Matthew E. Taylor, Nicholas K. Jong,
and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning.
In Proceedings of the European Conference on Machine Learning and Principles and Pratice of Knowledge Discovery in
Databases (ECML PKDD), September 2008.
ECML-2008
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- 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
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- 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.
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- 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
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- 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.
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- 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.
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- 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
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[pdf]
(220.7kB
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(325.4kB
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- 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
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(222.5kB
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(525.2kB
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- 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
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- 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
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- 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
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[pdf]
(172.9kB
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[ps]
(464.0kB
)
- 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
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[pdf]
(151.7kB
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[ps]
(1.6MB
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- 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.
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(102.1kB
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- 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
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(205.5kB
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(774.2kB
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- 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
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[pdf]
(147.3kB
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[ps]
(449.9kB
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- 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
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(230.4kB
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(620.1kB
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Multi-Robot Systems
- 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
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- 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).
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- 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
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Multiagent Systems
- Doran Chakraborty and Peter Stone.
Online Multiagent Learning against Memory Bounded Adversaries. In European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, September 2008.
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- 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
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- 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.
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- 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
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- 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.
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- 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.
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- 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
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- 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
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