Peter Stone's Selected Publications
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2013
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2013
- Samuel Barrett, Katie Genter,
Yuchen He, Todd Hester, Piyush Khandelwal,
Jacob Menashe, and Peter Stone. UT Austin Villa 2012: Standard Platform
League World Champions. In Xiaoping Chen, Peter Stone, Luis Enrique Sucar,
and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence,
Springer Verlag, Berlin, 2013.
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(740.4kB
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(15.0MB
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- Samuel Barrett, Peter Stone,
Sarit Kraus, and Avi Rosenfeld. Teamwork with Limited Knowledge of Teammates.
In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 2013.
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(190.1kB
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- Samuel Barrett, Noa Agmon,
Noam Hazon, Sarit Kraus, and Peter
Stone. Communicating with Unknown Teammates. In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013.
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- Doran Chakraborty and Peter Stone.
Multiagent Learning in the Presence of Memory-Bounded Agents. Autonomous Agents and Multiagent Systems (JAAMAS),
Springer, 2013.
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(676.7kB
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- Doran Chakraborty and Peter Stone.
Cooperating with a Markovian Ad Hoc Teammate. In Proceedings of the 12th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS), May 2013.
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(202.3kB
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- Doran Chakraborty, Noa Agmon,
and Peter Stone. Targeted Opponent Modeling of Memory-Bounded Agents.
In Proceedings of the Adaptive Learning Agents Workshop (ALA), May 2013.
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(629.0kB
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- Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn van der Zant, editors.
RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin,
2013.
A book based on RoboCup-2012
Available
from the publisher's webpage
ISBN: 978-3-642-39249-8
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- Alon Farchy, Samuel Barrett, Patrick
MacAlpine, and Peter Stone. Humanoid Robots Learning to Walk Faster:
From the Real World to Simulation and Back. In Proc. of 12th Int. Conf. on Autonomous Agents and Multiagent Systems
(AAMAS), May 2013.
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(486.2kB
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(36.5MB
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- Katie Genter, Noa Agmon, and
Peter Stone. Ad Hoc Teamwork for Leading a Flock. In Proceedings
of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May 2013.
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(246.7kB
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- Todd Hester and Peter Stone. TEXPLORE:
Real-Time Sample-Efficient Reinforcement Learning for Robots. Machine Learning, 90(3), 2013.
http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10994-012-5322-7
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(987.8kB
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- Todd Hester, Manuel Lopes, and Peter
Stone. Learning Exploration Strategies in Model-Based Reinforcement Learning. In The Twelfth International Conference
on Autonomous Agents and Multiagent Systems (AAMAS), May 2013.
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- W. Bradley Knox and Peter Stone.
Learning Non-Myopically from Human-Generated Reward. In In Proceedings of the International Conference on Intelligent
User Interfaces (IUI), March 2013.
IUI
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- Patrick MacAlpine, Nick Collins, Adrian Lopez-Mobilia, and Peter
Stone. UT Austin Villa: RoboCup 2012 3D Simulation League Champion. In Xiaoping Chen, Peter
Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes
in Artificial Intelligence, Springer Verlag, Berlin, 2013.
Accompanying video at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2012/html/results_3d/#highlights
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- Patrick MacAlpine, Francisco Barrera, and Peter
Stone. Positioning to Win: A Dynamic Role Assignment and FormationPositioning System. In Xiaoping Chen, Peter
Stone, Luis Enrique Sucar, and Tijn Van der Zant, editors, RoboCup-2012: Robot Soccer World Cup XVI, Lecture Notes
in Artificial Intelligence, Springer Verlag, Berlin, 2013.
Accompanying video at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/positioning.html
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(255.9kB
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- Patrick MacAlpine, Elad Liebman, and Peter
Stone. Simultaneous Learning and Reshaping of an Approximated Optimization Task. In AAMAS Adaptive Learning
Agents (ALA) Workshop, May 2013.
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- Daniel Urieli and Peter Stone.
Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy
System. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML'13),
Sep 2013.
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(2.3MB
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- Daniel Urieli and Peter Stone.
A Learning Agent for Heat-Pump Thermostat Control. In Proceedings of the 12th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS), May 2013.
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(427.2kB
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2012
- Noa Agmon and Peter Stone. Leading
Ad Hoc Agents in Joint Action Settings with Multiple Teammates. In Proc. of 11th Int. Conf. on Autonomous Agents and
Multiagent Systems (AAMAS), June 2012.
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- Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter
Stone, Christine Julien, and Sriram Vishwanath. On Coordination in Practical Multi-Robot Patrol. In IEEE International
Conference on Robotics and Automation (ICRA), May 2012.
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(412.4kB
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- Tsz-Chiu Au, Chien-Liang Fok, Sriram Vishwanath, Christine Julien, and Peter
Stone. Evasion Planning for Autonomous Vehicles at Intersections. In Proceedings of IEEE/RSJ International Conference
on Intelligent Robots and Systems, October 2012.
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- Tsz-Chiu Au, Michael Quinlan,
and Peter Stone. Setpoint Scheduling for Autonomous Vehicle Controllers.
In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), May 2012.
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- Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel
Urieli, Samuel Barrett, and Peter
Stone. Wright Eagle and UT Austin Villa: RoboCup 2011 Simulation League Champions. In Thomas Roefer, Norbert Michael
Mayer, Jesus Savage, and Uluc Saranli, editors, RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial
Intelligence, Springer Verlag, Berlin, 2012.
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(257.0kB
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- Samuel Barrett and Peter Stone.
An Analysis Framework for Ad Hoc Teamwork Tasks. In Proceedings of the 11th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS), June 2012.
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- Samuel Barrett, Peter Stone,
Sarit Kraus, and Avi Rosenfeld. Learning Teammate Models for Ad Hoc Teamwork.
In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012.
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(171.4kB
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(722.9kB
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- Samuel Barrett, Katie Genter,
Todd Hester, Piyush Khandelwal,
Michael Quinlan, Peter Stone,
and Mohan Sridharan. Austin Villa 2011: Sharing is Caring: Better Awareness
through Information Sharing. Technical Report UT-AI-TR-12-01, The University of Texas at Austin, Department of Computer
Sciences, AI Laboratory, 2012.
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- Dustin Carlino, Mike Depinet, Piyush Khandelwal, and Peter
Stone. Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous
Vehicles. In Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC), September 2012.
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(727.1kB
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(14.3MB
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- David Fajardo, Tsz-Chiu Au, Travis
Waller, Peter Stone, and David Yang. Automated Intersection Control:
Performance of a Future Innovation Versus Current Traffic Signal Control. Transportation Research Record (TRR),
2259:223–32, 2012.
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- Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au, Peter
Stone, Christine Julien, and Sriram Vishwanath. A Platform for Evaluating Autonomous Intersection Management Policies.
In Proceedings of the ACM/IEEE Third International Conference on Cyber-Physical Systems (ICCPS), April 2012.
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- Matthew Hausknecht, Piyush Khandelwal,
Risto Miikkulainen, and Peter Stone.
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player. In Genetic and Evolutionary Computation Conference (GECCO),
July 2012.
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- Todd Hester and Peter Stone. Intrinsically
Motivated Model Learning for a Developing Curious Agent. In The Eleventh International Conference on Development and
Learning (ICDL), Nov 2012.
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- Todd Hester, Michael Quinlan,
and Peter Stone. RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture
for Robot Control. In IEEE International Conference on Robotics and Automation (ICRA), May 2012.
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- Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, and Peter
Stone. PAC Subset Selection in Stochastic Multi-armed Bandits. In In proceedings of the 29th International Conference
on Machine Learning (ICML), pp. 655–662, Omnipress, New York, NY, USA, June-July 2012.
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- Piyush Khandelwal and Peter Stone.
A Low Cost Ground Truth Detection System Using the Kinect. In Thomas Roefer, Norbert Michael Mayer, Jesus Savage, and
Uluc Saranli, editors, RoboCup-2011: Robot Soccer World Cup XV, Lecture Notes in Artificial Intelligence, Springer
Verlag, Berlin, 2012.
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(323.7kB
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- W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, and Peter Stone. How Humans Teach Agents: A New Experimental Perspective. International
Journal of Social Robotics, 4:409–421, Springer Netherlands, October 2012. 10.1007/s12369-012-0163-x
International
Journal of Social Robotics
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publisher
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- W. Bradley Knox, A. Ross Otto, Peter
Stone, and Bradley Love. The Nature of Belief-Directed Exploratory Choice in Human Decision-Making. Frontiers
in Psychology, 2(398), January 2012.
Frontiers in Psychology
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article from publisher (free)
A follow-up
commentary by Erica Yu.
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- W. Bradley Knox and Peter Stone.
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks. In In Proceedings of the 21st IEEE International
Symposium on Robot and Human Interactive Communication (Ro-Man), September 2012.
CoTeSys Cognitive Robotics BEST
PAPER AWARD FINALIST.
Ro-Man 2012
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- W. Bradley Knox and Peter Stone.
Reinforcement Learning from Simultaneous Human and MDP Reward. In Proceedings of the 11th International Conference
on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
AAMAS 2012
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- W. Bradley Knox, Cynthia Breazeal, and Peter
Stone. Learning from feedback on actions past and intended. In In Proceedings of 7th ACM/IEEE International
Conference on Human-Robot Interaction, Late-Breaking Reports Session (HRI), March 2012.
HRI
2012
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(447.6kB
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- Wen-Ke Li, Matthew J. Hausknecht, Peter
Stone, and Michael D. Mauk. Using a million cell simulation of the cerebellum: Network scaling and task generality.
Neural Networks, November 2012.
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(765.8kB
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(2.5MB
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- Patrick MacAlpine, Samuel Barrett,
Daniel Urieli, Victor Vu, and Peter
Stone. Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation
Competition. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), July 2012.
Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/walk.html
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(461.2kB
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(2.0MB
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- Patrick MacAlpine, Daniel Urieli,
Samuel Barrett, Shivaram Kalyanakrishnan,
Francisco Barrera, Adrian Lopez-Mobilia, Nicolae \cStiurc\ua, Victor Vu, and Peter
Stone. UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition. In Proc. of 11th
Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), June 2012.
Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2011/html/components.html
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(646.3kB
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- Patrick MacAlpine and Peter Stone.
Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk. In AAMAS Adaptive Learning Agents (ALA) Workshop,
June 2012.
Video available at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2012/html/holonomicwalk.html
Ukrainian
translation by Domri team
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(525.6kB
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- Manuela Veloso and Peter Stone. Video:
RoboCup Robot Soccer History 1997 -- 2011. October 2012. Available from http://www.robocup.org/2012/10/robocup-video-finalist-for-best-video-award-at-iros-2012/
http://www.robocup.org/2012/10/robocup-video-finalist-for-best-video-award-at-iros-2012/
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2011
- Noa Agmon, Daniel Urieli, and
Peter Stone. Multiagent Patrol Generalized to Complex Environmental Conditions.
In Proceedings of the Twenty-Fifth Conference on ArtificialIntelligence (AAAI), August 2011.
Extended
version, book
chapter
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- Tsz-Chiu Au, Neda Shahidi, and Peter
Stone. Enforcing Liveness in Autonomous Traffic Management. In Proceedings of the Twenty-Fifth Conference on
Artificial Intelligence, August 2011.
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- Samuel Barrett, Peter Stone,
and Sarit Kraus. Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain.
In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2011.
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- Samuel Barrett and Peter Stone.
Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards. In Tenth International
Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2011.
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- Samuel Barrett, Katie Genter,
Matthew Hausknecht, Todd Hester,
Piyush Khandelwal, Juhyun Lee,
Michael Quinlan, Aibo Tian, Peter
Stone, and Mohan Sridharan. Austin Villa 2010 Standard Platform Team Report.
Technical Report UT-AI-TR-11-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2011.
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(1.3MB
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- Doran Chakraborty and Peter Stone.
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. In Proceedings
of the Twenty Eighth International Conference on Machine Learning (ICML), 2011.
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(223.3kB
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- Katie Genter, Noa Agmon, and
Peter Stone. Role-Based Ad Hoc Teamwork. In Proceedings of the Plan,
Activity, and Intent Recognition Workshop at the Twenty-Fifth Conference on Artificial Intelligence (PAIR-11), August
2011.
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(241.7kB
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- Matthew Hausknecht and Peter Stone.
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker. In Javier Ruiz-del-Solar, Eric Chown, and Paul
G. Plöger, editors, RoboCup-2010: Robot Soccer World Cup XIV, Lecture Notes in Artificial Intelligence, pp. 254–65,
Springer Verlag, Berlin, 2011.
Video and source code available at http://www.cs.utexas.edu/~AustinVilla/?p=research/aibo_kick
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- Matthew Hausknecht, Tsz-Chiu Au,
Peter Stone, David Fajardo, and Travis
Waller. Dynamic Lane Reversal in Traffic Management. In Proceedings of IEEE Intelligent Transportation Systems
Conference (ITSC), 2011.
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(127.0kB
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- Matthew Hausknecht, Tsz-Chiu Au,
and Peter Stone. Autonomous Intersection Management: Multi-Intersection
Optimization. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September
2011.
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- Todd Hester and Peter Stone. Learning
and Using Models. In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art,
Springer Verlag, Berlin, Germany, 2011.
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- Tobias Jung, Daniel Polani, and Peter
Stone. Empowerment for continuous agent-environment systems. Adaptive Behavior, 19(1):16–39, 2011.
Available from Adaptive Behavior page.
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- Shivaram Kalyanakrishnan and Peter
Stone. Characterizing Reinforcement Learning Methods through Parameterized Learning Problems. Machine Learning
(MLJ), 84(1--2):205–247, July 2011.
Publisher's
on-line version
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- Shivaram Kalyanakrishnan and Peter
Stone. On Learning with Imperfect Representations. In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic
Programming and Reinforcement Learning, pp. 17–24, IEEE, April 2011.
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- W. Bradley Knox and Peter
Stone. Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report. In
IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
IJCAI
2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)
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- Raz Lin, Sarit Kraus, Noa
Agmon, Samuel Barrett, and Peter
Stone. Comparing Agents: Success against People in Security Domains. In Proceedings of the Twenty-Fifth AAAI
Conference on Artificial Intelligence, August 2011.
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- Patrick MacAlpine, Daniel Urieli,
Samuel Barrett, Shivaram Kalyanakrishnan,
Francisco Barrera, Adrian Lopez-Mobilia, Nicolae\cStiurc\ua, Victor Vu, and Peter
Stone. UT Austin Villa 2011 3D Simulation Team Report. Technical Report AI11-10, The University of Texas at Austin,
Department of Computer Science, AI Laboratory, 2011.
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(1.2MB
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- David Pardoe and Peter Stone.
Designing Adaptive Trading Agents. ACM SIGecom Exchanges, 10(2):37–9, June 2011.
SIGecom
Exchanges
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- David Pardoe and Peter Stone.
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations. In Proceedings of the 10th
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2011.
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- Paul Scerri, Balajee Kannan, Pras Velagapudi, KateMacarthur, Peter Stone, Matthew E. Taylor, John Dolan andAlessandro Farinelli, Archie Chapman, Bernadine
Dias, and GeorgeKantor. Flood Disaster Mitigation: A Real-world Challenge Problem forMulti-Agent Unmanned Surface Vehicles.
In Proceedings of the Autonomous Robots and MultirobotSystems workshop (at AAMAS-11), May 2011.
ARMS-11
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- Matthew E. Taylor and Peter
Stone. An Introduction to Inter-task Transfer for Reinforcement Learning. AI Magazine, 32(1):15–34,
2011.
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(237.0kB
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- Kagan Tumer, Pinar Yolum,
Liz Sonenberg, and Peter
Stone, editors. Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems,
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2011.
A book based on AAMAS
2011
ISBN-10: 0-9826571-5-3 ISBN-13 978-0-9826571-5-7
on-line
version from IFAAMAS.
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- Daniel Urieli, Patrick MacAlpine,
Shivaram Kalyanakrishnan, Yinon Bentor, and Peter
Stone. On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer. In Proc. of
10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), pp. 769–776, IFAAMAS, May 2011.
Accompanying
videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/AustinVilla3DSimulationFiles/2010/html/skilloptimization2010.html
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- Shimon Whiteson, Brian Tanner, Matthew
E. Taylor, and Peter Stone. Protecting Against Evaluation Overfitting
in Empirical Reinforcement Learning. In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL),
April 2011.
2011 IEEE Symposium on Adaptive Dynamic Programming and
Reinforcement Learning (ADPRL)
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2010
- Tsz-Chiu Au and Peter Stone. Motion
Planning Algorithms for Autonomous Intersection Management. In AAAI 2010 Workshop on Bridging The Gap Between Task
And Motion Planning (BTAMP), 2010.
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- Samuel Barrett, Katie Genter,
Todd Hester, Michael Quinlan,
and Peter Stone. Controlled Kicking under Uncertainty. In The Fifth
Workshop on Humanoid Soccer Robots at Humanoids 2010, December 2010.
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- Samuel Barrett, Matt E. Taylor,
and Peter Stone. Transfer Learning for Reinforcement Learning on a Physical
Robot. In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop
(AAMAS - ALA), May 2010.
AAMAS ALA 2010
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- Doran Chakraborty and Peter Stone.
Convergence, Targeted Optimality and Safety in Multiagent Learning. In Proceedings of the Twenty-seventh International
Conference on Machine Learning (ICML), June 2010.
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- Todd Hester and Peter Stone. Real
Time Targeted Exploration in Large Domains. In The Ninth International Conference on Development and Learning (ICDL),
August 2010.
ICDL 2010
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- Todd Hester, Michael Quinlan,
and Peter Stone. Generalized Model Learning for Reinforcement Learning on
a Humanoid Robot. In IEEE International Conference on Robotics and Automation (ICRA), May 2010.
Video available
at http://www.cs.utexas.edu/~AustinVilla/?p=research/rl_kick
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- Tobias Jung and Peter Stone.
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration. In The European Conference
on Machine Learning (ECML), September 2010.
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- Shivaram Kalyanakrishnan and Peter
Stone. Learning Complementary Multiagent Behaviors: A Case Study. In Jacky Baltes, Michail G. Lagoudakis, Tadashi
Naruse, and Saeed Shiry Ghidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 153–165, Springer Verlag,
2010.
BEST STUDENT PAPER AWARD WINNER at RoboCup International Symposium.
Some simulations
referenced in the paper.
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- Shivaram Kalyanakrishnan, Todd Hester,
Michael Quinlan, Yinon Bentor, and Peter
Stone. Three Humanoid Soccer Platforms: Comparison and Synthesis. In Jacky Baltes, Michail G. Lagoudakis, Tadashi
Naruse, and Saeed Shiry Ghidary, editors, RoboCup 2009: Robot Soccer World Cup XIII, pp. 140–152, Springer Verlag,
2010.
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- Shivaram Kalyanakrishnan and Peter
Stone. Efficient Selection of Multiple Bandit Arms: Theory and Practice. In Proceedings of the Twenty-seventh
International Conference on Machine Learning (ICML), 2010.
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- Piyush Khandelwal, Matthew Hausknecht,
Juhyun Lee, Aibo Tian, and Peter
Stone. Vision Calibration and Processing on a Humanoid Soccer Robot. In The Fifth Workshop on Humanoid Soccer
Robots at Humanoids 2010, December 2010.
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- W. Bradley Knox and Peter
Stone. Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning. In Proc. of
9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
Winner of the Pragnesh Jay Modi
BEST STUDENT PAPER AWARD (and best paper award nominee).
The TAMER
project page with videos of TAMER in action.
AAMAS-2010
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- Itsuki Noda, Peter Stone, Tomohisa
Yamashita, and Koichi Kurumatani. Multi-Agent Social Simulation. In Nakashima, H., Aghajan, H., \& Augusto, J. C.,
editors, Handbook of Ambient Intelligence and Smart Environments, pp. 703–729, 2010.
Official version from
publisher's webage
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- David Pardoe, Peter Stone,
Maytal Saar-Tsechansky, Tayfun Keskin, and Kerem Tomak. Adaptive Auction Mechanism Design and the Incorporation
of Prior Knowledge. Informs Journal on Computing, 22(3):353–370, 2010.
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[ps]
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- David Pardoe and Peter Stone.
The 2007 TAC SCM Prediction Challenge. In Wolfgang Ketter, Han La Poutré, Norman Sadeh, OnnShehory, and William
Walsh, editors, Agent-Mediated Electronic Commerce and Trading AgentDesign and Alaysis, Lecture Notes in Business Information
Processing (LNBIP), pp. 175–89, 2010.
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- David Pardoe and Peter Stone.
Boosting for Regression Transfer. In Proceedings of the 27th International Conference on Machine Learning (ICML),
June 2010.
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- David Pardoe, Doran Chakraborty,
and Peter Stone. TacTex09: A Champion Bidding Agent for Ad Auctions.
In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 2010.
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- Michael Quinlan, Tsz-Chiu Au,
Jesse Zhu, Nicolae Stiurca, and Peter Stone. Bringing Simulation to Life:
A Mixed Reality Autonomous Intersection. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots
and Systems (IROS), October 2010.
Video available at http://www.cs.utexas.edu/~aim/video/MixedReality.wmv
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- Adam Setapen, Michael Quinlan,
and Peter Stone. MARIOnET: Motion Acquisition for Robots through Iterative
Online Evaluative Training. In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents
Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
supplemental
video cited in the paper.
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[ps]
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- Peter Stone, Michael Quinlan,
and Todd Hester. Can Robots Play Soccer?. In Ted Richards, editors, Soccer
and Philosophy: Beautiful Thoughts on theBeautiful Game, Popular Culture and Philosophy, pp. 75–88, Open Court
Publishing Company, 2010.
Appears in Soccer and Philosophy (available
from amazon.com)
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- Peter Stone, Gal A. Kaminka,
and Jeffrey S. Rosenschein. Leading a Best-Response Teammate in an Ad
Hoc Team. In Esther David, Enrico Gerding, David Sarne, and Onn Shehory, editors, Agent-Mediated Electronic Commerce:
Designing Trading Strategies andMechanisms for Electronic Markets, pp. 132–146, November 2010.
Official version
from publisher's
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- Peter Stone, Gal A. Kaminka,
Sarit Kraus, and Jeffrey S. Rosenschein
. Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. In Proceedings of the Twenty-Fourth
Conference on Artificial Intelligence, July 2010.
AAAI
2010
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- Peter Stone and Sarit Kraus.
To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams. In The Ninth International Conference
on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems,
May 2010.
supplemental material cited
in the paper, including a proof and an algorithm.
AAMAS 2010
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- Shimon Whiteson, Matthew
E. Taylor, and Peter Stone. Critical Factors in the Empirical Performance
of Temporal Difference and Evolutionary Methods for Reinforcement Learning. Journal of Autonomous Agents and Multi-Agent
Systems, 21(1):1–27, 2010.
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- Jonathan Wildstrom, Peter Stone,
and Emmett Witchel. Autonomous Return on Investment Analysis of Additional
Processing Resources. International Journal on Autonomic Computing, 1(3):280–296, Inderscience Publishers,
Inderscience Publishers, Geneva, SWITZERLAND, 2010.
IJAC
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2009
- Peter Djeu, Michael Quinlan, and Peter
Stone. Improving Particle Filter Performance Using SSE Instructions. In Proceedings of IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), October 2009.
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- Ian Fasel, Michael Quinlan, and
Peter Stone. A Task Specification Language for Bootstrap Learning. In
AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
AAAI
Spring 2009 Symposium: Agents that Learn from Human Teachers
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- Todd Hester and Peter Stone. Generalized
Model Learning for Reinforcement Learning in Factored Domains. In The Eighth International Conference on Autonomous
Agents and Multiagent Systems (AAMAS), May 2009.
AAMAS 2009
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- Todd Hester and Peter Stone. An
Empirical Comparison of Abstraction in Models of Markov Decision Processes. In Proceedings of the ICML/UAI/COLT Workshop
on Abstraction in Reinforcement Learning, June 2009.
ICML ARL 2009
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[ps]
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- Todd Hester, Michael Quinlan,
Peter Stone, and Mohan Sridharan.
TT-UT Austin Villa 2009: Naos across Texas. Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department
of Computer Science, AI Laboratory, 2009.
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(787.9kB
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- Nicholas K. Jong and Peter Stone.
Compositional Models for Reinforcement Learning. In The European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases, September 2009.
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- Tobias Jung and Peter Stone.
Feature Selection for Value Function Approximation Using Bayesian Model Selection. In The European Conference on
Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2009.
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- Tobias Jung, Mazda Ahmadi, and
Peter Stone. Connectivity-based Localization in Robot Networks. In International
Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09), June 2009.
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- Shivaram Kalyanakrishnan and Peter
Stone. An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning. In The Eighth
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749–756, International Foundation
for Autonomous Agents and Multiagent Systems, May 2009.
AAMAS 2009
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[ps]
(1.7MB
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- Shivaram Kalyanakrishnan, Yinon Bentor, and Peter
Stone. The UT Austin Villa 3D Simulation Soccer Team 2008. Technical Report AI09-01, The University of Texas at
Austin, Department of Computer Sciences, AI Laboratory, 2009.
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[ps]
(983.9kB
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- W. Bradley Knox and Peter
Stone. Interactively Shaping Agents via Human Reinforcement: The TAMER Framework. In The Fifth International
Conference on Knowledge Capture, September 2009.
The TAMER
project page with videos of TAMER in action.
K-CAP
2009
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- W. Bradley Knox, Ian Fasel,
and Peter Stone. Design Principles for Creating Human-Shapable Agents.
In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2009.
AAAI
Spring 2009 Symposium: Agents that Learn from Human Teachers
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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, pp. 141–72, Emerald Group, 2009.
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[pdf]
(392.2kB
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[ps]
(736.6kB
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- David Pardoe and Peter Stone.
Adapting Price Predictions in TAC SCM. In John Collins, Peyman Faratin, Simon
Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, and Elizabeth
Sklar, editors, Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, Lecture Notes in Business
Information Processing, pp. 30–45, 2009.
Official version from publisher's
webpage
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[ps]
(524.0kB
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- Mohan Sridharan and Peter Stone.
Color Learning and Illumination Invariance on Mobile Robots: A Survey. Robotics and Autonomous Systems (RAS) Journal,
57(60-7):629–44, June 2009.
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- Matthew E. Taylor and Peter
Stone. Transfer Learning for Reinforcement Learning Domains: A Survey. Journal of Machine Learning Research,
10(1):1633–1685, 2009.
Official version
from journal website.
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(399.8kB
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2008
- 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]
(466.3kB
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[ps]
(3.0MB
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- 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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[ps]
(6.6MB
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- Doran Chakraborty and Peter Stone.
Online Multiagent Learning against Memory Bounded Adversaries. In Machine Learning and Knowledge Discovery in Databases,
pp. 211–26, September 2008.
Official version from Publisher's
Webpage© Springer-Verlag
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- 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 webpage.
View
this abstract in Romanian courtesy of azoft.
And here's a version
in Polish.
And now one in Russian,
and one in German.
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- Kurt Dresner and Peter
Stone. Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles. In AAMAS Workshop on Agents
in Traffic and Transportation, pp. 78–85, Estoril, Portugal, May 2008.
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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, Lecture Notes in Artificial Intelligence, pp.
480–87, Springer Verlag, Berlin, 2008.
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- Todd Hester and Peter Stone. Negative
Information and Line Observations for Monte Carlo Localization. In IEEE International Conference on Robotics and Automation,
May 2008.
ICRA 2008
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- Todd Hester, Michael Quinlan,
and Peter Stone. UT Austin Villa 2008: Standing on Two Legs. Technical
Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2008.
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(705.9kB
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[ps]
(6.2MB
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- Nicholas K. Jong and Peter Stone.
Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ. In Proceedings of the Twenty-Fifth International Conference
on Machine Learning, July 2008.
ICML 2008
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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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- 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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[ps]
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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
Also available in IEEE Xplore,
9-12 Aug. 2008 Pages:292 - 297
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- Juhyun Lee, W. Bradley Knox,
and Peter Stone. Inter-Classifier Feedback for Human-Robot Interaction in
a Domestic Setting. Journal of Physical Agents, 2(2):41–50, July 2008. Special Issue on Human Interaction
with Domestic Robots
Available from journal's web page.
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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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- 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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- Daniel Stronger and Peter Stone.
Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot. In IEEE International Conference
on Robotics and Automation, May 2008.
ICRA 2008
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- Matthew E. Taylor, Nicholas K. Jong,
and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning.
In Machine Learning and Knowledge Discovery in Databases, pp. 488–505, September 2008.
Official version
from Publisher's Webpage© Springer-Verlag
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[ps]
(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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[ps]
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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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(149.0kB
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[ps]
(202.5kB
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- Mark VanMiddlesworth, Kurt Dresner, and Peter
Stone. Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles. In AAMAS Workshop on
Agents in Traffic and Transportation, pp. 94–101, Estoril, Portugal, May 2008.
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2007
- Mazda Ahmadi, Matthew E. Taylor,
and Peter Stone. IFSA: Incremental Feature-Set Augmentation for Reinforcement
Learning Tasks. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
BEST PAPER AWARD NOMINEE.
AAMAS-2007
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(261.6kB
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[ps]
(1.0MB
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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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(118.1kB
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[ps]
(198.5kB
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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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(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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- 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.
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[pdf]
(186.9kB
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[ps]
(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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- 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.
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[pdf]
(992.2kB
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[ps]
(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, pp. 650–657, ACM, New York, NY, USA, May 2007.
BEST PAPER AWARD NOMINEE.
AAMAS-2007
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[pdf]
(186.4kB
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[ps]
(384.8kB
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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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(273.4kB
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[ps]
(5.7MB
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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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(377.0kB
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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, Lecture Notes in Artificial Intelligence, pp. 98–109, Springer
Verlag, Berlin, 2007.
BEST PAPER AWARD NOMINEE at RoboCup International Symposium.
Some videos
referenced in the paper.
Details
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[pdf]
(1.1MB
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[ps]
(26.8MB
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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.
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[ps]
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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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- Peter Stone. Intelligent Autonomous Robotics: A Robot Soccer Case Study,
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan \& Claypool Publishers, 2007.
Available from
Synthesis page.
ISBN: 9781598291262
Details
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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.
Details
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[ps]
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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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[ps]
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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
Details
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- Daniel Stronger and Peter Stone.
Selective Visual Attention for Object Detection on a Legged Robot. In Gerhard Lakemeyer, Elizabeth
Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes
in Artificial Intelligence, pp. 158–170, Springer Verlag, Berlin, 2007.
Some videos
referenced in the paper.
Details
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[pdf]
(159.7kB
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[ps]
(342.4kB
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- Daniel Stronger and Peter Stone.
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. In IEEE International Conference
on Robotics and Automation, pp. 3915–3920, April 2007.
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[pdf]
(271.4kB
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[ps]
(2.2MB
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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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[ps]
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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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[ps]
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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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[ps]
(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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[ps]
(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
Details
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(144.9kB
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[ps]
(375.1kB
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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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(139.9kB
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[ps]
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- Michael P. Wellman, Amy
Greenwald, and Peter Stone. Autonomous Bidding Agents: Strategies
and Lessons from the Trading Agent Competition, MIT Press, 2007.
Available from MIT
Press page.
ISBN: 0-262-23260-X
Details
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(unavailable)
- 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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(828.6kB
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[ps]
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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.
Details
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[pdf]
(329.4kB
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[ps]
(942.5kB
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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
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[pdf]
(98.6kB
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[ps]
(191.7kB
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2006
- Mazda Ahmadi and Peter Stone.
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. In Proceedings of the Twenty-First National
Conference on Artificial Intelligence, pp. 580–85, July 2006.
AAAI
2006.
Additional details on the distributed "biconnected check" can be found in Keeping
in Touch: A Distributed Check for Biconnected Structure by Homogeneous Robots in the 2006 International Symposium
on Distributed Autonomous Robotic Systems (DARS 2006).
Details
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(105.0kB
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[ps]
(128.8kB
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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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[pdf]
(171.3kB
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[ps]
(314.6kB
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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
Details
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(172.9kB
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[ps]
(464.0kB
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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
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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.
Details
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[pdf]
(227.5kB
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[ps]
(376.8kB
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- Charles Lee Isbell, Jr.,
Michael Kearns, Satinder Singh,
Christian Shelton, Peter Stone,
and Dave Kormann. Cobot in LambdaMOO: An Adaptive Social Statistics
Agent. Autonomous Agents and Multiagent Systems, 13(3), November 2006.
Official version from publisher's
website.
Contains material that was previously published in an Agents-2001
paper that won the BEST PAPER AWARD. JAAMAS
Details
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(unavailable)
- 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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- Gregory Kuhlmann, William B. Knox,
and Peter Stone. Know Thine Enemy: A Champion RoboCup Coach Agent. In
Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463–68, July 2006.
AAAI 2006
Details
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[pdf]
(126.0kB
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[ps]
(286.1kB
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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
Details
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[pdf]
(151.7kB
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[ps]
(1.6MB
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- David Pardoe, Peter Stone,
Maytal Saar-Tsechansky, and Kerem
Tomak. Adaptive Mechanism Design: A Metalearning Approach. In The Eighth International Conference on Electronic
Commerce, pp. 92–102, August 2006.
ICEC 2006. Contains material from Adaptive
Auctions: Learning to Adjust to Bidders, Workshop on Information Technologies and Systems (WITS),
2005.
Details
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[pdf]
(334.2kB
)
[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
Details
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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
Details
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[pdf]
(366.2kB
)
[ps]
(950.9kB
)
- Mohan Sridharan and Peter Stone.
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. In The Ninth International Conference
on Control, Automation, Robotics and Vision, December 2006.
ICARCV
2006
Details
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[pdf]
(444.1kB
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[ps]
(2.3MB
)
- Peter Stone and Gerhard Weiss,
editors. Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems,
Association for Computing Machinery (ACM), May 2006.
A book based on AAMAS
2006
ISBN: 1-59593-303-4
on-line
version from ACM.
Details
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(unavailable)
- Peter Stone, Mohan Sridharan,
Daniel Stronger, Gregory Kuhlmann,
Nate Kohl, Peggy Fidelman, and Nicholas
K. Jong. From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty. Robotics and Autonomous Systems
, 54(11):933–43, November 2006. Special issue on Planning Under Uncertainty in Robotics.
Official
versionfrom the RAS publisher's webpage.
Details
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[pdf]
(260.5kB
)
[ps]
(3.6MB
)
- Peter Stone, Gregory Kuhlmann,
Matthew E. Taylor, and Yaxin
Liu. Keepaway Soccer: From Machine Learning Testbed to Benchmark. In Itsuki
Noda, Adam Jacoff, Ansgar Bredenfeld, and Yasutake Takahashi, editors, RoboCup-2005: Robot Soccer World Cup IX,
pp. 93–105, Springer Verlag, Berlin, 2006.
Some simulations
of keepaway referenced in the paper and keepaway software.
Official version from Publisher's
Webpage© Springer-Verlag
Details
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[pdf]
(567.7kB
)
[ps]
(2.3MB
)
- Peter Stone, Peggy Fidelman, Nate
Kohl, Gregory Kuhlmann, Tekin Mericli,
Mohan Sridharan, and Shao-en Yu. The UT Austin Villa 2006 RoboCup Four-Legged
Team. Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory,
2006.
At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2006.html#06-337
Details
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[pdf]
(123.7kB
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[ps]
(127.2kB
)
- Daniel Stronger and Peter Stone.
Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot. Connection Science, 18(2):97–119,
2006. Special Issue on Developmental Robotics.
Connection
Science Journal. Contains material that was previously published in an ICRA-2005
paper.
Details
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[pdf]
(372.6kB
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[ps]
(1.4MB
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- Harish Subramanian, Subramanian Ramamoorthy, Peter
Stone, and Ben Kuipers. Designing Safe, Profitable Automated Stock
Trading Agents Using Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference,
July 2006.
GECCO 2006
Details
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[pdf]
(214.6kB
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[ps]
(813.6kB
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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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[pdf]
(235.9kB
)
[ps]
(562.2kB
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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.
Details
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[pdf]
(1.7MB
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[ps]
(6.1MB
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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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[ps]
(2.7MB
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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
Details
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(754.2kB
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[ps]
(1.4MB
)
- Jonathan Wildstrom, Peter Stone,
Emmett Witchel, and Mike Dahlin.
Adapting to Workload Changes Through On-The-Fly Reconfiguration. Technical Report UT-AI-TR-06-330, The University of
Texas at Austin, Department of Computer Sciences, AI Laboratory, 2006.
At ftp://ftp.cs.utexas.edu/pub/AI-Lab/tech-reports/UT-AI-TR-06-330.pdf
Details
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Download:
(unavailable)
2005
- Mazda Ahmadi and Peter Stone.
Continuous Area Sweeping: A Task Definition and Initial Approach. In The 12th International Conference on Advanced
Robotics, July 2005.
Some videos of
the robot referenced in the paper.
ICAR 2005
Details
BibTeX
Download:
[pdf]
(186.7kB
)
[ps]
(243.1kB
)
- Kurt Dresner and Peter
Stone. Multiagent Traffic Management: An Improved Intersection Control Mechanism. In The Fourth International
Joint Conference on Autonomous Agents and Multiagent Systems, ACM Press, New York, NY, July 2005.
Some videos
referenced in the paper. The main project page
Extended
version citable as University of Texas at Austin AI lab technical
report number UT-AI-TR-04-315
AAMAS-2005
Details
BibTeX
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[pdf]
(143.5kB
)
[ps]
(216.7kB
)
- Nicholas K. Jong and Peter Stone.
State Abstraction Discovery from Irrelevant State Variables. In Proceedings of the Nineteenth International Joint
Conference on Artificial Intelligence, pp. 752–757, August 2005.
Details
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[pdf]
(102.1kB
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[ps]
(249.8kB
)
- Nicholas K. Jong and Peter Stone.
Bayesian Models of Nonstationary Markov Decision Problems. In IJCAI 2005 workshop on Planning and Learning in A
Priori Unknown or Dynamic Domains, August 2005.
Workshop
webpage.
Details
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[pdf]
(42.4kB
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- Gregory Kuhlmann, Peter Stone,
and Justin Lallinger. The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach. In Daniele Nardi,
Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial
Intelligence, pp. 636–644, Springer Verlag, Berlin, 2005.
Official version from Publisher's
Webpage© Springer-Verlag
Details
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[pdf]
(112.7kB
)
[ps]
(287.8kB
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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
Details
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[pdf]
(244.7kB
)
[ps]
(272.4kB
)
- David Pardoe and Peter Stone.
Developing Adaptive Auction Mechanisms. ACM SIGecom Exchanges, 5(3):1–10, April 2005.
SIGecom
Exchanges
Details
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[pdf]
(155.6kB
)
[ps]
(212.4kB
)
- David Pardoe and Peter Stone.
Bidding for Customer Orders in TAC SCM. In P. Faratin and J.A. Rodriguez-Aguilar, editors, Agent Mediated
Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems (AMEC 2004), Lecture Notes
in Artificial Intelligence, pp. 143–157, Springer Verlag, Berlin, 2005.
Official version from Publisher's
Webpage© Springer-Verlag
Details
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[pdf]
(174.3kB
)
[ps]
(283.8kB
)
- 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
)
- 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
Details
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[pdf]
(205.5kB
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[ps]
(774.2kB
)
- Mohan Sridharan and Peter Stone.
Towards Illumination Invariance in the Legged League. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors,
RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 196–208, Springer Verlag,
Berlin, 2005.
Some videos of robots referenced
in the paper.
Official version from Publisher's Webpage©
Springer-Verlag
Details
BibTeX
Download:
[pdf]
(245.1kB
)
[ps]
(2.1MB
)
- Mohan Sridharan and Peter Stone.
Autonomous Color Learning on a Mobile Robot. In Proceedings of the Twentieth National Conference on Artificial Intelligence,
July 2005.
Some videos of the robot referenced
in the paper.
AAAI 2005
Details
BibTeX
Download:
[pdf]
(901.5kB
)
[ps]
(6.4MB
)
- Mohan Sridharan and Peter Stone.
Real-Time Vision on a Mobile Robot Platform. In IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS), August 2005.
Some videos
of the robot referenced in the paper.
IROS-2005
Details
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[pdf]
(396.1kB
)
[ps]
(5.0MB
)
- Mohan Sridharan, Gregory Kuhlmann,
and Peter Stone. Practical Vision-Based Monte Carlo Localization on a Legged
Robot. In IEEE International Conference on Robotics and Automation, April 2005.
ICRA
2005
Details
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[pdf]
(217.6kB
)
[ps]
(2.0MB
)
- Peter Stone, Richard S. Sutton,
and Gregory Kuhlmann. Reinforcement Learning for RoboCup-Soccer Keepaway.
Adaptive Behavior, 13(3):165–188, 2005.
Contains material that was previously published in an ICML-2001
paper and a RoboCup 2003 Symposium
paper.
Some simulations of keepaway
referenced in the paper and keepaway software.
Details
BibTeX
Download:
[pdf]
(1.2MB
)
[ps]
(2.0MB
)
- Peter Stone and Amy Greenwald.
The First International Trading Agent Competition: Autonomous Bidding Agents. Electronic Commerce Research,
5(2):229–65, April 2005.
Official version from publisher's
website © Springer-Verlag
Details
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[pdf]
(398.7kB
)
[ps]
(679.1kB
)
- Peter Stone, Kurt
Dresner, Peggy Fidelman, Nate Kohl, Gregory
Kuhlmann, Mohan Sridharan, and Daniel
Stronger. The UT Austin Villa 2005 RoboCup Four-Legged Team. Technical Report UT-AI-TR-05-325, The University of
Texas at Austin, Department of Computer Sciences, AI Laboratory, 2005.
At http://www.cs.utexas.edu/ftp/pub/AI-Lab/index/html/Abstracts.2005.html#05-325
Details
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[pdf]
(186.2kB
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[ps]
(243.4kB
)
- Daniel Stronger and Peter Stone.
A Model-Based Approach to Robot Joint Control. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004:
Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, pp. 297–309, Springer Verlag, Berlin, 2005.
Official version from Publisher's Webpage© Springer-Verlag
Details
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[pdf]
(235.3kB
)
[ps]
(489.4kB
)
- 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
)
[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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[pdf]
(230.4kB
)
[ps]
(620.1kB
)
- Shimon Whiteson, Nate
Kohl, Risto Miikkulainen, and Peter
Stone. Evolving Keepaway Soccer Players through Task Decomposition. Machine Learning, 59(1):5–30,
May 2005.
Some videos of the agents before
and after learning referenced in the paper.
The publisher's
official version
An earlier version appeared in the proceedings of The
Genetic and Evolutionary Computation Conference 2003 (GECCO-2003)
Details
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[pdf]
(278.8kB
)
[ps]
(566.8kB
)
- Shimon Whiteson, Peter
Stone, Kenneth O. Stanley, Risto
Miikkulainen, and Nate Kohl. Automatic Feature Selection via Neuroevolution.
In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
Details
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[pdf]
(181.4kB
)
[ps]
(1.6MB
)
- 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
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[pdf]
(74.0kB
)
[ps]
(104.6kB
)
2004
- Kurt Dresner and Peter
Stone. Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. In The Third International
Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530–537, July 2004.
Some simulations
of cars driving through intersections referenced in the paper. The main
project page
AAMAS-2004
Details
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[pdf]
(233.8kB
)
[ps]
(492.0kB
)
- Yi Feng, Ronggang Yu, and Peter Stone. Two Stock-Trading Agents: Market
Making and Technical Analysis. In Peyman Faratin, David C. Parkes, Juan A. Rodriguez-Aguilar, and William E. Walsh,
editors, Agent Mediated Electronic Commerce V: Designing Mechanisms and Systems, Lecture Notes in Artificial Intelligence,
pp. 18–36, Springer Verlag, 2004.
AMEC-2003
Details
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[pdf]
(512.0kB
)
[ps]
(912.4kB
)
- Nicholas K. Jong and Peter Stone.
Towards Employing PSRs in a Continuous Domain. Technical Report UT-AI-TR-04-309, The University of Texas at Austin,
Department of Computer Sciences, AI Laboratory, 2004.
UTAustin
AI Lab technical reports
Details
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[pdf]
(94.1kB
)
- Nate Kohl and Peter Stone. Machine
Learning for Fast Quadrupedal Locomotion. In The Nineteenth National Conference on Artificial Intelligence, pp.
611–616, July 2004.
Some videos of walking
robots referenced in the paper.
AAAI
2004
Details
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[pdf]
(210.0kB
)
[ps]
(1.4MB
)
- Nate Kohl and Peter Stone. Policy
Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. In Proceedings of the IEEE International Conference
on Robotics and Automation, May 2004.
Some videos
of walking robots referenced in the paper.
ICRA 2004
Details
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[pdf]
(301.5kB
)
[ps]
(3.2MB
)
- 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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- David Pardoe and Peter Stone.
TacTex-03: A Supply Chain Management Agent. ACM SIGecom Exchanges: Special Issue on Trading Agent
Design and Analysis, 4(3):19–28, Winter 2004.
SIGecom Exchanges
Extended
version citable as University of Texas at Austin AI lab technical
report number UT-AI-TR-04-308.
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- Elizabeth Sklar, Simon
Parsons, and Peter Stone. Using RoboCup in university-level computer
science education. Journal on Educational Resources in Computing, 4(2), June 2004. Special issue on robotics in
undergraduate education. Part 1
Available from the publisher's
webpage
JERIC
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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, 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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- 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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2003
- Amy Greenwald, Nicholas R. Jennings,
and Peter Stone. Guest Editors' Introduction: Agents and Markets. IEEE
Intelligent Systems, 18(6):12–14, November/December 2003.
IEEEIntelligent
Systems special issue on agents and markets.
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- Itsuki Noda and Peter Stone.
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research. Autonomous Agents and
Multi-Agent Systems, 7(1--2):101–120, July--September 2003.
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(271.2kB
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- Satinder Singh, Michael L. Littman,
Nicholas K. Jong, David Pardoe,
and Peter Stone. Learning Predictive State Representations. In Proceedings
of the Twentieth International Conference on Machine Learning, August 2003.
ICML-2003
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(316.3kB
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(319.2kB
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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. 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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(216.7kB
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- Michael P. Wellman, Amy
Greenwald, Peter Stone, and Peter
R. Wurman. The 2001 Trading Agent Competition. Electronic Markets, 13(1):4–12, May 2003.
Available from the publisher's webpage
An earlier version appeared in the Fourteenth Conference on Innovative Applications of Artificial Intelligence,
pages 935-941, Edmonton, July 2002.
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(165.3kB
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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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- Ronggang Yu and Peter Stone. Performance Analysis of a Counter-intuitive
Automated Stock-Trading Strategy. In Proceedings of the Fifth International Conference on Electronic Commerce,
Pittsburgh, PA, October 2003.
ICEC-2003
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2002
- Paul S. A. Reitsma, Peter Stone,
János A. Csirik, and Michael L.
Littman. Self-enforcing Strategic Demand Reduction. In Agent Mediated Electronic Commerce IV: Designing Mechanisms
and Systems, Lecture Notes in Artificial Intelligence, pp. 289–306, Springer Verlag, 2002.
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(141.7kB
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(125.4kB
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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. ATTUnited-2001: Using Heterogeneous Players. In Andreas
Birk, Silvia Coradeschi, and Satoshi Tadokoro, editors, RoboCup-2001: Robot Soccer
World Cup V, Lecture Notes in Artificial Intelligence, pp. 495–98, Springer Verlag, Berlin, 2002.
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- Manuela Veloso, Tucker Balch, Peter Stone, Hiroaki Kitano,
Fuminori Yamasaki, Ken Endo, Minoru Asada, M. Jamzad,
B. S. Sadjad, V. S. Mirrokni, M. Kazemi, H. Chitsaz, A. Heydarnoori, M. T. Hajiaghai,
and E. Chiniforooshan. RoboCup-2001: The Fifth Robotic Soccer World Championships. AI Magazine, 23(1):55–68,
2002.
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2001
- János A. Csirik, Michael L. Littman,
Satinder Singh, and Peter Stone.
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents. In Electronic Commerce: Proceedings of
the Second International Workshop, pp. 139–151, Springer Verlag, Heidelberg, Germany, 2001.
WELCOM-01
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- Amy Greenwald and Peter Stone.
Autonomous Bidding Agents in the Trading Agent Competition. IEEE Internet Computing, 5(2):52–60, March/April
2001.
Magazine's website
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- 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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- Michael L. Littman and Peter
Stone. Implicit Negotiation in Repeated Games. In Proceedings of The Eighth International Workshop on Agent
Theories, Architectures, and Languages (ATAL-2001), pp. 393–404, August 2001.
ATAL-2001
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- David McAllester and Peter Stone.
Keeping the Ball from CMUnited-99. In Peter Stone, Tucker
Balch, and Gerhard Kraetzschmar, editors, RoboCup-2000:
Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, pp. 333–338, Springer Verlag, Berlin, 2001.
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- Patrick Riley, Peter Stone, and Manuela Veloso. Layered Disclosure: Revealing Agents' Internals. In C. Castelfranchi
and Y. Lespérance, editors, Intelligent Agents VII. Agent Theories, Architectures, and Languages --- 7th. International
Workshop, ATAL-2000, Boston, MA, USA, July 7--9, 2000, Proceedings, Lecture Notes in Artificial Intelligence, Springer-Verlag,
Berlin, Berlin, 2001.
Publisher's Webpage© Springer-Verlag
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- Patrick Riley, Peter Stone, David
McAllester, and Manuela Veloso. ATT-CMUnited-2000: Third Place Finisher in
the RoboCup-2000 Simulator League. In P. Stone, T.
Balch, and G. Kraetzschmar, editors, RoboCup-2000:
Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2001.
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- 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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- 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, (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 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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2000
- Silvia Coradeschi, Lars Karlsson, Peter
Stone, Tucker Balch, Gerhard
Kraetzschmar, and Minoru Asada. Overview of
RoboCup-99. AI Magazine, 21(3), 2000.
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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. 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. 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, 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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(90.3kB
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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, Patrick Riley, and Manuela Veloso. The CMUnited-99 Champion Simulator Team. In M. Veloso,
E. Pagello, and H. Kitano, editors, RoboCup-99: Robot
Soccer World Cup III, Lecture Notes in Artificial Intelligence, pp. 35–48, Springer Verlag, Berlin, 2000.
Extended version (unofficial, but with
some more details) (pdf version)
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- Manuela Veloso, Peter Stone, and Kwun
Han. The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control. Robotics and Autonomous Systems,
29(2-3):133–143, November 2000.
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1999
- Peter Stone and Manuela Veloso. Task
Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Artificial
Intelligence, 110(2):241–273, June 1999.
HTML
version.
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- Peter Stone and Manuela Veloso. 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, Manuela Veloso, and Patrick Riley. The CMUnited-98 Champion Simulator Team. In M. Asada
and H. Kitano, editors, RoboCup-98: Robot Soccer World
Cup II, Lecture Notes in Artificial Intelligence, pp. 61–76, Springer Verlag, 1999.
(extended version linked
here)
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- Manuela Veloso, Peter Stone, and Michael Bowling. Anticipation as a Key for Collaboration in a Team of Agents:
A Case Study in Robotic Soccer. In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II,
pp. 134–143, SPIE, Bellingham, WA, September 1999.
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- Manuela Veloso, Michael Bowling,
Sorin Achim, Kwun Han, and Peter Stone. The CMUnited-98 Champion Small Robot
Team. In Minoru Asada and Hiroaki
Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in Artificial Intelligence, pp. 77–92,
Springer Verlag, Berlin, 1999.
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1998
- Minoru Asada, Yasuo Kuniyoshi, Alexis
Drogoul, Hajime Asama, Maja
Mataric, Dominique Duhaut, Peter Stone, and Hiroaki
Kitano. The RoboCup Physical Agent Challenge: Phase-I. Applied Artificial Intelligence, 12:251–263,
1998.
HTML version.
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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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- 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 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. The
CMUnited-97 Simulator Team. In Hiroaki Kitano, editors, RoboCup-97:
Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 387–397, Springer Verlag, Berlin, 1998.
HTML version.
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from Publisher's Webpage© Springer-Verlag
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- Manuela Veloso, Peter Stone, Kwun
Han, and Sorin Achim. The CMUnited-97 Small-Robot Team. In Hiroaki
Kitano, editors, RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, pp. 242–256,
Springer Verlag, Berlin, 1998.
HTML version.
Official
version from Publisher's Webpage© Springer-Verlag
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1997
- 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
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- 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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1996
- Sorin Achim, Peter Stone, and Manuela
Veloso. Building a Dedicated Robotic Soccer System. In Proceedings of the IROS-96 Workshop on RoboCup, pp.
41–48, Osaka, Japan, November 1996.
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version.
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- Mike Bowling, Peter Stone,
and Manuela Veloso. Predictive Memory for an Inaccessible Environment. In
Proceedings of the IROS-96 Workshop on RoboCup, pp. 28–34, Osaka, Japan, November 1996.
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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 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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