Computers Playing Poker - lecture by prof. Bowling

Prof. Michael Bowling, head of Computer Poker Research Group, who stood behind the research of AI program DeepStack, that won in Poker against the human players visited Prague and hold a serie of lectures here.

On thursday March 30, he had a lecture at Faculty of Electrical Engineering: Artificial Intelligence Goes All-In: Computer Playing Poker

Anotation of the lecture:
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.

After one hour lecture profesor Michael Bowling answered many questions from the audience and even after official end of the event he donated his time to interested students and journalists for another discussion. 

Photos from the lecture.