
Long Bio
Dr. Peter Stone is the David Bruton, Jr. Centennial Professor and
Associate Chair of Computer Science, as well as Director of Texas
Robotics, 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. 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. His long-term research goal is to create
complete, robust, autonomous agents that can learn to interact with
other intelligent agents in a wide range of complex, dynamic
environments.
Prof. Stone is currently continuing his investigation of machine
learning, multiagent learning, and robotics at UT Austin. Application
domains include robot soccer, autonomous traffic management, and
human-interactive robots. Within the robot soccer domain, he
is studying multiagent techniques in reinforcement learning,
specifically temporal difference learning, for learning successful
policies by a team of cooperating agents. In autonomous
intersection management he has developed a novel protocol by which
autonomous vehicles can traverse intersections with 2 orders of
magnitude less delay than is possible with traffic signals or stop
signs. In robotics, his Building-Wide Intelligence project focuses
on long-term autonomy in social settings.
Prof. Stone is president of the international RoboCup Federation, was
a co-chair of RoboCup-2001 at IJCAI-01, was a Program Co-Chair of AAAI
2014 and AAMAS 2006 and was General Co-Chair of AAMAS 2011. He has
developed teams of robot soccer agents that have won RoboCup
championships in the simulation (1998, 1999, 2003, 2005, 2011, 2012,
2014, 2015, 2016, 2017, 2017, 2019), standard platform (2012), and
small-wheeled robot (1997, 1998) leagues. He led tutorials on robot
soccer at AAAI-99, Agents-99, and IJCAI-99 and on autonomous bidding
agents (AAMAS-07 and AAAI-07). He has also developed agents that have
won auction trading agents competitions (2000, 2001, 2003, 2005, 2006,
2008, 2009, 2010, 2011, 2013). Peter has served on various program
committees and has co-chaired workshops on learning agents (at
Agents-2000, Agents-2001, and the AAAI Spring Symposium in 2002) and
on RoboCup (at RoboCup-2000).
Prof. Stone is the author of "Layered Learning in Multiagent Systems:
A Winning Approach to Robotic Soccer" (MIT Press, 2000), co-author of
"Autonomous Bidding Agents: Strategies and Lessons from the Trading
Agent Competition" (MIT Press, 2007), and "Intelligent Autonomous
Robotics" (Morgan & Claypool, 2007) as well as an author of many
technical papers in conferences and journals.
Prof. Stone won best-paper awards at the International Conference on
Social Robotics (ICSR) in 2013, the RoboCup Symposium in 2007, at the
Genetic and Evolutionary Computation Conference (GECCO) in 2006, and
at the Agents-2001 conference. Prof. Stone was awarded the Allen
Newell Medal for Excellence in Research in 1997. He 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 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.
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