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 •
Sorted by First Author Last Name
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Achim
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Ahmadi
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Asada
•
Banerjee
•
Beeson
•
Bowling
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Chakraborty
•
Coradeschi
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Csirik
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Dresner
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Fasel
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Feng
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Fidelman
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Grasemann
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Greenwald
•
Hester
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Isbell
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Jong
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Kalyanakrishnan
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Kitano
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Knox
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Kohl
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Kuhlmann
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Lee
•
Littman
•
Liu
•
McAllester
•
Noda
•
Pardoe
•
Rabideau
•
Reisinger
•
Reitsma
•
Riley
•
Saggar
•
Schapire
•
Sherstov
•
Singh
•
Sklar
•
Sridharan
•
Stone
•
Stronger
•
Subramanian
•
Taylor
•
VanMiddlesworth
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Veloso
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Wellman
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Whiteson
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Wildstrom
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Yu
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Achim
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
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[pdf]
(457.0kB
)
[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.
AAMAS-2007
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[pdf]
(261.6kB
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[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).
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[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
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[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
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[pdf]
(186.7kB
)
[ps]
(243.1kB
)
Asada
Banerjee
Beeson
Bowling
Chakraborty
Coradeschi
Csirik
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.
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[pdf]
(1.3MB
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[ps]
(2.2MB
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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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[pdf]
(81.4kB
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[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
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[pdf]
(189.9kB
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[ps]
(287.7kB
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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
)
- 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
)
[ps]
(492.0kB
)
- 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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[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.
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[pdf]
(79.9kB
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[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.
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[pdf]
(227.5kB
)
[ps]
(376.8kB
)
Fasel
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
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[pdf]
(512.0kB
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[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
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[pdf]
(186.9kB
)
[ps]
(1.6MB
)
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
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[pdf]
(280.9kB
)
[ps]
(1.6MB
)
Greenwald
Hester
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
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(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
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[pdf]
(97.0kB
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[ps]
(114.7kB
)
Jong
- 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
)
- 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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[pdf]
(136.4kB
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[ps]
(325.7kB
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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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[pdf]
(321.1kB
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[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.
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[pdf]
(102.1kB
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[ps]
(249.8kB
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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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[pdf]
(324.3kB
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[ps]
(1.1MB
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- 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.
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[pdf]
(42.4kB
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- 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
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[pdf]
(94.1kB
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Kalyanakrishnan
- 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.
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[pdf]
(200.0kB
)
[ps]
(524.3kB
)
- 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
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[pdf]
(992.2kB
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[ps]
(1.6MB
)
- 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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[pdf]
(185.0kB
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[ps]
(392.7kB
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- 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.
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[pdf]
(273.4kB
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[ps]
(5.7MB
)
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.
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[pdf]
(135.1kB
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[ps]
(97.9kB
)
Knox
Kohl
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
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[pdf]
(112.7kB
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[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.
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[pdf]
(377.0kB
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[ps]
(601.6kB
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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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[pdf]
(124.1kB
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[ps]
(156.2kB
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- 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
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[pdf]
(126.0kB
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[ps]
(286.1kB
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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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[pdf]
(170.3kB
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[ps]
(498.2kB
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Lee
Littman
Liu
McAllester
Noda
Pardoe
- David Pardoe and Peter Stone.
Developing Adaptive Auction Mechanisms. SIGecom Exchanges, 5(3):1–10, April 2005.
SIGecom
Exchanges
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(155.6kB
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[ps]
(212.4kB
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- David Pardoe and Peter Stone.
TacTex-03: A Supply Chain Management Agent. 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.
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[pdf]
(145.3kB
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[ps]
(161.6kB
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- 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, Elsevier, 2007.
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(392.2kB
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[ps]
(736.6kB
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- 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
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[pdf]
(174.3kB
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[ps]
(283.8kB
)
- 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.
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[pdf]
(334.2kB
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[ps]
(511.6kB
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- 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
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[pdf]
(200.7kB
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[ps]
(196.5kB
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- 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
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(366.2kB
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[ps]
(950.9kB
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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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[pdf]
(328.7kB
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[ps]
(524.0kB
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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)
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(unavailable)
Reisinger
Reitsma
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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[pdf]
(96.6kB
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[ps]
(881.8kB
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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.
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[pdf]
(114.6kB
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[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 NOMINATION at RoboCup International Symposium.
Some videos
referenced in the paper.
Details
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[pdf]
(1.1MB
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[ps]
(26.8MB
)
Schapire
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
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[pdf]
(167.0kB
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[ps]
(248.6kB
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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.
Official version from Publisher's
Webpage© Springer-Verlag
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[pdf]
(187.7kB
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[ps]
(583.4kB
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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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Singh
Sklar
Sridharan
- 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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(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.
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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- 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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- 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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(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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- 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
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(217.6kB
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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
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(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.
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(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
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(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
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(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.
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- 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.
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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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- 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
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- 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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- 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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- 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. Task
Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Artificial
Intelligence, 110(2):241–273, June 1999.
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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.
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- 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.
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- 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.
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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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- 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.
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- 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.
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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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- 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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- 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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- 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.
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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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- 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
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- 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
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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. 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
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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.
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- 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.
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- 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.
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- 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
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- 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
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- 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
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- 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
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- 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").
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- Peter Stone. ATTUnited-2001: Using Heterogeneous Players. In Andreas
Birk,