News
May 2020: My 2008 article with Kurt Dresner introducing "A multiagent approach to autonomous intersection management" was awarded the IFAAMAS influential paper award.
November 2019: I was named Executive Director of Sony AI America.
August 2019: My student Josiah Hanna successfully his dissertation on "Data Efficient Reinforcement Learning with Simulated and Off-Policy Data." He will be an assistant professor position in the Computer Science department at the University of Wisconsin-Madison beginning in Fall 2021.
July 2019: I began a 2-year term as President of the International RoboCup Federation.
December 2018: I was elected AAAS Fellow.
[more]
I am
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
Director of Texas Robotics.
I was a co-founder of Cogitai, Inc. and am now Executive Director of Sony AI America.
My main research interest in AI is understanding how we can best create complete intelligent agents. I consider adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, my research focuses mainly on machine learning, multiagent systems, and robotics. To me, the most exciting research topics are those inspired by challenging real-world problems. I believe that complete successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. My application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, and human-interactive agents.
See Short, Medium, or Long Professional Bio.
CV in PDF or HTML Format (as of Oct '20).
Read my Timeline.
I was a co-founder of Cogitai, Inc. and am now Executive Director of Sony AI America.
My main research interest in AI is understanding how we can best create complete intelligent agents. I consider adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, my research focuses mainly on machine learning, multiagent systems, and robotics. To me, the most exciting research topics are those inspired by challenging real-world problems. I believe that complete successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. My application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, and human-interactive agents.
See Short, Medium, or Long Professional Bio.
CV in PDF or HTML Format (as of Oct '20).
Read my Timeline.