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Wilson Geisler, Director SEA 4.328A, Mailcode A8000, Austin, TX 78712 • 512-471-5380

Peter Stone

Associate Professor

Peter Stone



My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. Robust and efficient perception is an important component of such agents. I also consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses in large part on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.


P. Stone and M. Veloso. "Multiagent systems: a survey from a machine learning perspective," Autonomous Robots, vol. 8, no. 3, pp. 345-383, July 2000.

M. Sridharan, G. Kuhlmann, and P. Stone. Practical Vision-Based Monte Carlo Localization on a Legged Robot. In IEEE International Conference on Robotics and Automation, April 2005. To appear.

M. Sridharan and P. Stone. "Towards Illimination Invariance in the Legged League." In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004:Robot Soccer World Cup VIII, Springer Verlag, Berlin, 2005. To appear.

M. L. Littman and P. Stone. A Polynomial-time Nash Equilibrium Algorithm for Repeated Games. Decision Support Systems, 39:55-66 , 2005.

P. Stone, R.S. Sutton, and G. Kuhlmann. "Scaling Reinforcement Learning toward RoboCup Soccer," Adaptive Behavior, 2005, to appear.

S. Whiteson and P. Stone. "Adaptive Job Routing and Scheduling," Engineering Applications of Artificial Intelligence, 2005, to appear.

M.L. Littman and P. Stone. "A Polynomial-time Nash Equilibrium Algorithm for Repeated Games," Decision Support Systems, vol. 39, pp. 55-66, 2005.

N. Kohl and P. Stone. "Machine Learning for Fast Quadrupedal Locomotion," The Nineteenth National Conference on Artificial Intelligence (AAAI), pp. 611-616, July 2004.

P. Stone, R.E. Schapire, M.L. Littman, J. Csirik, and D. McAllester. "Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions," Journal of Artificial Intelligence Research, vol. 19, pp. 209-242, 2003.

P. Stone and M. Veloso. "Multiagent systems: a survey from a machine learning perspective," Autonomous Robots, vol. 8, no. 3, pp. 345-383, July 2000.

P. Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer, MIT Press, 2000 (monograph).

P. Stone and M. Veloso. "Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork," Artificial Intelligence, vol. 110, no. 2, pp. 241-273, June 1999.


Semester      Course     Unique No.       Title

2013 Fall      CS 311H       53685        Discrete Math Comp Sci: Honors

2013 Fall      CS 393R       54125        Autonomous Robots

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