Learning and Multiagent Reasoning for Autonomous Robots
Peter StoneProfessor, Department of Computer Science
University of Texas at Austin
Thursday, January 30, 2014|
5:00pm - 6:00pm
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About the Event
Over the past half-century, we have transitioned from a world with
just a handful of mainframe computers owned by large corporations, to
a world in which private individuals have multiple computers in their
homes, in their cars, in their pockets, and even on their bodies.
This transition was enabled by computer science research in multiple
areas such as systems, networking, programming languages, human
computer interaction, and artificial intelligence.
Dr. Peter Stone is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, Fulbright Scholar, and Professor in the Department of Computer Science at the University of Texas at Austin. He received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. Peter's research interests include machine learning, multiagent systems, robotics, and e-commerce. In 2003, he won a CAREER award from the National Science Foundation for his research on learning agents in dynamic, collaborative, and adversarial multiagent environments. In 2004, he was named an ONR Young Investigator for his research on machine learning on physical robots. In 2007, he was awarded the prestigious IJCAI 2007 Computers and Thought award, given once every two years to the top AI researcher under the age of 35.
Open to: Public