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Peter Stone

Professor

Dr. Peter Stone's main research interest in AI is understanding how we can best create complete intelligent agents. He considers adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, his research focuses mainly on machine learning, multiagent systems, and robotics. For him, the most exciting research topics are those inspired by challenging real-world problems. He believes that complete, successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. His application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing, and social agents.

Research

Research Areas:
Research Interests:
  • Reinforcement Learning
  • Multiagent Systems
  • Robotics
  • Multiagent Learning
  • AI Planning
Current Research:

View list of current research topics.

Research Labs & Affiliations:

Select Publications

Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning.
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Varun Kompella, Piyush Khandelwal, HaoChih Lin, Patrick MacAlpine, Declan Oller, Craig Sherstan, Takuma Seno, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Duerr, Peter Stone, Michael Spranger, and and Hiroaki Kitano.
Nature, 62:223–28, Feb. 2022.

A Multiagent Approach to Autonomous Intersection Management.
Kurt Dresner and Peter Stone.
Journal of Artificial Intelligence Research, 31:591–656, March 2008.

Artificial Intelligence and Life in 2030.
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller.
One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA, 2016.

Behavioral Cloning from Observation.
Faraz Torabi, Garrett Warnell, and Peter Stone.
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), July 2018.

Interactively Shaping Agents via Human Reinforcement: The TAMER Framework.
W. Bradley Knox and Peter Stone.
In The Fifth International Conference on Knowledge Capture, September 2009.

Awards & Honors

  • 2022 - ACM/SIGAI Industry Award for Excellence in Artificial Intelligence
  • 2021 - ACM Fellow
  • 2019 - AAAS Fellow
  • 2019 - Minnie Stevens Piper Professorship
  • 2018 - IEEE Fellow
  • 2016 - ACM/SIGAI Autonomous Agents Research Award
  • 2012 - AAAI Fellow
  • 2008 - Guggenheim Fellow
  • 2008 - Fulbright Award
  • 2008 - William David Blunk Memorial Professorship
  • 2007 - IJCAI Computers and Thought Award
  • 2004 - Alfred P. Sloan Research Fellow