Peter Stone :: Professor at the University of Texas at Austin, Department of Computer Science

Medium Bio

Dr. Peter Stone holds the Truchard Foundation Chair in Computer Science at the University of Texas at Austin. He is Associate Chair of the Computer Science Department, as well as Director of Texas Robotics. He received his Ph.D. in 1998 and his M.S. in 1995 from Carnegie Mellon University, both in Computer Science. He received his B.S. in Mathematics from the University of Chicago in 1993. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research.

Prof. Stone's research interests in Artificial Intelligence include planning, machine learning, multiagent systems, and robotics. Application domains include robot soccer, autonomous traffic management, and human-interactive robots. His doctoral thesis research contributed a flexible multiagent team structure and multiagent machine learning techniques for teams operating in real-time noisy environments in the presence of both teammates and adversaries. He has developed teams of robot soccer agents that have won fifteen robot soccer tournaments (RoboCup) in both simulation and with real robots. He has also developed agents that have won ten auction trading agent competitions (TAC). Prof. Stone is the author of "Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer" (MIT Press, 2000) as well as a co-author of "Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition" (MIT Press, 2007).

Prof. Stone is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, AAAS Fellow, ACM Fellow, Fulbright Scholar, and 2004 ONR Young Investigator. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. In 2003, he won an NSF CAREER award for his proposed long term research on learning agents in dynamic, collaborative, and adversarial multiagent environments, in 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35, and in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award.

Professor Stone is a founding member of the Executive Team of UT Austin's "Good Systems" Grand Challenge and on Scientific Board of the Machine Learning Lab. In the past, he has served as President of the RoboCup Federation and the Chair of the Standing Committee of the One Hundred Year Study on Artificial Intelligence (AI100).

Professor Stone co-founded Cogitai, Inc., a startup company focused on continual learning, in 2015, and served as President and COO until 2019. He is currently Chief Scientist of Sony AI.

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