Peter H. Stone
Peter H. Stone received his computer science PhD at Carnegie Mellon in 1998. His doctoral research studied team structures and machine learning for agents in real-time, noisy settings with teammates and opponents. He worked at AT&T Labs before joining the University of Texas at Austin in June 2002. His 2000 book described layered learning through robotic soccer, and his later research covered autonomous intersections and robots that work with people. He also founded the continual-learning company Cogitai in 2015. His research connects learning methods with complete agents and practical settings.
- Now at
- University of Texas at Austin and Cogitai
- Works
- 838
- Citations
- 29,299
- h-index
- 80
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1993–1998
Learning in a team
Stone earned a mathematics degree at Chicago in 1993 and a computer science PhD at Carnegie Mellon in 1998. His thesis studied flexible team organization and machine learning for agents operating with teammates and adversaries in noisy, real-time environments.
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1999–2002
From research lab to UT Austin
Stone worked in artificial intelligence at AT&T Labs from 1999 to 2002. He became an assistant professor at UT Austin in June 2002. The move continued his research in learning, agents and robotics.
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2000 and later research
Layered learning and robot soccer
His 2000 book, Layered Learning in Multiagent Systems, used robotic soccer to explain the approach. He later worked on reinforcement learning, including temporal difference methods for teams of cooperating agents in the robot soccer domain.
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2015 and subsequent work
Continual learning and complete agents
Stone co-founded Cogitai in 2015, with a focus on continual learning. His broader research program also includes autonomous intersection management and Building-Wide Intelligence, a project on long-term robot autonomy in social settings. These applications connect agent learning with interaction in physical environments.
Sources and credits
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