Peter Stone
Professor
My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. I consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses mainly on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
Homepage:
http://www.cs.utexas.edu/~pstone
Publications
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Generalized Model Learning for Reinforcement Learning in Factored Domains (2009)
Todd Hester and Peter Stone
 The UT Austin Villa 3D Simulation Soccer Team 2008 (2009)
Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone
 An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning (2009)
Shivaram Kalyanakrishnan and Peter Stone
 Color Learning and Illumination Invariance on Mobile Robots: A Survey (2009)
Mohan Sridharan and Peter Stone
 Learning Complementary Multiagent Behaviors: A Case Study (2009)
Shivaram Kalyanakrishnan and Peter Stone
 Three Humanoid Soccer Platforms: Comparison and Synthesis (2009)
Shivaram Kalyanakrishnan and Todd Hester and Michael Quinlan and Yinon Bentor and Peter Stone
 An Empirical Comparison of Abstraction in Models of Markov Decision Processes (2009)
Todd Hester and Peter Stone
 Interactively Shaping Agents via Human Reinforcement: The TAMER Framework (2009)
W. Bradley Knox and Peter Stone
 Compositional Models for Reinforcement Learning (2009)
Nicholas K. Jong and Peter Stone
 Feature Selection for Value Function Approximation Using Bayesian Model Selection (2009)
Tobias Jung and Peter Stone
 Improving Particle Filter Performance Using SSE Instructions (2009)
Peter Djeu and Michael Quinlan and Peter Stone
 Transfer Learning for Reinforcement Learning Domains: A Survey (2009)
Matthew E. Taylor and Peter Stone
 Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning (2009)
Shimon Whiteson and Matthew E. Taylor and Peter Stone
 Generalized Domains for Empirical Evaluations in Reinforcement Learning (2009)
Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone
 Leading a Best-Response Teammate in an Ad Hoc Team (2009)
Peter Stone and Gal A. Kaminka and Jeffrey S. Rosenschein
 Design Principles for Creating Human-Shapable Agents (2009)
W. Bradley Knox and Ian Fasel and Peter Stone
 Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting (2008)
Juhyun Lee and W. Bradley Knox and Peter Stone
 Multiagent Interactions in Urban Driving (2008)
Patrick Beeson and Jack O'Quin and Bartley Gillan and Tarun Nimmagadda and Mickey Ristroph and David Li and Peter Stone
 A Multiagent Approach to Autonomous Intersection Management (2008)
Kurt Dresner and Peter Stone
 Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents (2008)
Daniel Stronger and Peter Stone
Labs
Learning Agents