Peter Stone


Can robots beat elite soccer players? Peter Stone at TEDxYouth@Austin

Published on Apr 23, 2013

As Professor of Computer Science at UT Austin, Dr. Peter Stone's interests run from competing in the international RoboCup soccer tournament to developing novel computing protocols for self-driven vehicles. His long-term research involves creating complete, robust, autonomous agents that can learn to interact with other intelligent agents in a wide range of complex and dynamic environments.
 

Robotics leader Peter Stone presents keynote at NVIDIA

Published on Oct 2, 2017

Peter Stone has used machine learning to train robots to deliver coffee, drive cars, and, perhaps most famously, become championship-winning soccer players. His goal is to use AI to create “robust, fully autonomous agents” that learn to exploit what they know, and explore what they don’t, through their own experiences. Stone’s layered learning approach to training robots evolved quickly to a method of overlapping layered learning, where one learning is still adapting, even as another is added.
 

RoboCup - Peter Stone

Jul 11, 2019

Peter Stone is the founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory in the Department of Computer Science at The University of Texas at Austin, as well as associate department chair and chair of the University's Robotics Portfolio Program. He is also an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, Fulbright Scholar, and President, COO, and co-founder of Cogitai, Inc.
 
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