B.S. in Mathematics (1993),
M.S. (1995), Ph.D. (1998)
Areas of Interest
Artificial intelligence, multiagent systems, machine learning, multiagent learning, robotics, trading agents, autonomic computing
Awards and Professional Service
· IJCAI Computers and Thought Award, 2007
· ONR Young Investigator, 2004
· Alfred P. Sloan Research Fellow, 2004
· NSF CAREER Award, 2003
· IBM Faculty Award, 2004, 2003
· Best Paper Award, Autonomous Agents Conference, 2001
· CMU Allen Newell Medal for Research Excellence, 1997
· AT&T Labs Research Innovator, 2000
· Leader, 1st-place teams in the Trading Agent Competition (TAC), 2006, 2005, 2003, 2001, 2000
· World Champion team member in 6 RoboCup events: simulator coach competition 2005, 2003; simulator competition, 1999; simulator and small-size robot competitions, 1998; small-size robot competition, 1997
· Editorial Board: Journal of Artificial Intelligence Research (JAIR), Machine Learning Journal (MLJ), Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS)
· Board of Trustees, RoboCup Federation
Summary of Research
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.
Selected Publications as of 2005 (Complete, up-to-date list is here)
P. Stone, Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer, MIT Press, 2000 (monograph).
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.S. Sutton, and G. Kuhlmann, "Scaling Reinforcement Learning toward RoboCup Soccer," Adaptive Behavior, 2005.
S. Whiteson and P. Stone, "Adaptive Job Routing and Scheduling," Engineering Applications of Artificial Intelligence, 2005.
M.L. Littman and P. Stone, "A Polynomial-time Nash Equilibrium Algorithm for Repeated Games," Decision Support Systems, vol. 39, pp. 55-66, 2005.
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 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.