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Artificial Intelligence Goes All-In: Computers Playing Poker

30 Mar 2017   16:00-17:30

Lecture by prof. Michael Bowling, head of Computer Poker Research Group at University of Alberta.

Artificial intelligence has seen several breakthroughs in recent years, with games such as checkers, chess, and go often serving as milestones of progress. Poker is another game entirely, with players having their own asymmetric information about what's happening in the game. In this talk, I'll describe a decade long research program to build AI that can cope with the hallmarks of poker — deception, bluffing, and manipulating what other players know. This research has culminated in two landmark results: Cepheus playing a perfect game of limit poker, and most recently DeepStack (in a collaboration with Czech researchers) beating poker pros at the game of no-limit poker. These two computer programs take very different approaches, and shed light on what is required to play a game at an expert-level and what is required to play it perfectly.

About professor Michael Bowling:
-World-famous expert on AI and reinforcement learning
-Led many outstanding computer poker results:
-Polaris, beating pros in heads-up limit poker
-Cepheus, playing optimally heads-up limit poker
-DeepStack, beating pros in heads-up no-limit
-Two publications on poker in prestigious Science
-Proposed Atari games as a benchmark for AI
-Won one of the first RoboCup challenges

KN:E-107, Karlovo nám. 13
Katedra počítačů, FEL, ČVUT
Contact person
Vendula Kubušková, vendula.kubuskova@fel.cvut.cz, 224357414
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