Peter Stone

GDC 3.508
(512) 471-9796
pstone [at] cs [dot] utexas [dot] edu

Stone's research specialization is in AI. His research falls mainly in the areas of machine learning, autonomous agents and multiagent systems, robotics, and e-commerce.

Selected Awards & Honors: 
  • Elected AAAI Fellow, 2012.
  • Elected Board Member, International Machine Learning Society (IMLS), March 2011.
  • William David Blunk Memorial Professorship, for undergraduate teaching, 2008-09
  • Fulbright Award, 2008-09
  • Guggenheim Fellow, 2008-09
  • Elected Board Member, International Foundation of Autonomous Agents and Multi-Agent Systems (IFAAMAS), March 2008.
  • IJCAI Computers and Thought Award, 2007
  • Councilor, American Association of Artificial Intelligence (AAAI), 2005-2008
  • Alfred P. Sloan Research Fellow, 2004-2006
  • Office of Naval Research (ONR) Young Investigator, 2004-2007
  • IBM Faculty Award, 2005, 2004, 2003
  • Leader of 11 1st-place teams in the Trading Agent Competition (TAC), 2000-2011
  • World Champion team member in 7 RoboCup events: 1997-2011
  • National Science Foundation CAREER Award, 2003
Selected Publications: 
  • Kurt Dresner and Peter Stone.  A multiagent approach to autonomous intersection management. Journal of Artificial Intelligence Research, 31:591-656, March 2008.
  • Mohan Sridharan and Peter Stone. Structure Based Color Learning on a Mobile Robot under Changing Illumination. Autonomous Robots, 23(3):161-182, 2007.
  • 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.
  • Shimon Whiteson and Peter Stone. Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research, 7:877-917, May 2006.
  • Peter Stone, Robert E. Schapire, Michael L. Littman, Janos 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, September 2003.
  • Peter Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer. MIT Press, 2000. (monograph)
  • Michael P. Wellman, Amy Greenwald, and Peter Stone. Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition. MIT Press, 2007. (monograph) 
  • Peter Stone. Intelligent Autonomous Robotics: A Robot Soccer Case Study. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool Publishers, 2007. (monograph)
Professional Activities: 
  • co-Editor-in-Chief: Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS)
  • Associate editor: Artificial Intelligence Journal (AIJ)
  • Editorial board: Machine Learning Journal (MLJ)
  • Event coordination: General co-chair, Autonomous Agents and Multi-Agent Systems (AAMAS), 2011; Tutorial co-chair, AAAI, 2008; Program co-chair, AAMAS, 2006; Workshop co-chair, AAAI, 2005; Tutorial chair, IJCAI 2003; Trustee, RoboCup Federation, July 2003 - presen.