Dr. Peter Stone is the David Bruton, Jr. Centennial Professor and
Associate Chair of Computer Science, as well as Chair of the Robotics
Consortium, at the University of Texas at Austin. 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,
Prof. Stone is an Alfred P. Sloan Research Fellow, Guggenheim Fellow,
AAAI Fellow, IEEE Fellow, AAAS 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
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 Executive Director of Sony AI America.
Format (as of Oct '20).
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