UTCS Colloquia/AI - Michael Bowling/University of Alberta: "AI After Dark: Computers Playing Poker", PAI 3.14

Contact Name: 
Jenna Whitney
Date: 
Nov 5, 2010 11:00am - 12:00pm

There is a sign-up schedule for this event that can be found at

http://www.cs.utexas.edu/department/webevent/utcs/events/cgi/list_event

s.cgi

Type of Talk: UTCS Colloquia/AI

Speaker/Affiliation: Michae

l Bowling/University of Alberta

Date/Time: Friday, November 5, 2010

11:00 a.m.

Location: PAI 3.14

Host: Peter Stone

Talk Title:

"AI After Dark: Computers Playing Poker"

Talk Abstract:
The game of

poker presents a serious challenge for artificial intelligence. The game is
essentially about dealing with many forms of uncertainty: unobservable opp

onent cards, undetermined future cards, and unknown opponent strategies.

Coping with these uncertainties is critical to playing at a high-level. In

July 2008, the University of Alberta''s poker playing program, Polaris,

became the first to defeat top professional players at any variant of poker
in a meaningful competition. In this talk, I''ll tell the story of this m

atch interleaved with the science that enabled Polaris''s accomplishment.

n
Speaker Bio:
Michael Bowling is an associate professor at the Univers

ity of Alberta. He received his Ph.D. in 2003 from Carnegie Mellon Universi

ty in the area of artificial intelligence. His research focuses on machine

learning, game theory, and robotics, and he is particularly fascinated b

y the problem of how computers can learn to play games through experience.