"Superhuman" Poker AI Paper in Science

CMU Group Describes "Superhuman" Poker AI in Science

Libratus Used PSC's Bridges to Formulate Its Strategy in Contest with Best Human Players

Dec. 18, 2017

In a paper published online yesterday by the journal Science, Tuomas Sandholm, CMU professor of computer science, and Noam Brown, a PhD student in the Computer Science Department, detail how their AI achieved superhuman performance at Heads-Up, No-Limit Texas Hold'em poker. "Libratus" beat four of the world's best human players by breaking the game into computationally manageable parts and, based on its opponents' game play, fixing potential weaknesses in its strategy during the competition. Libratus used PSC's Bridges system to play and to formulate its strategy.

Earlier this month, another paper by Sandholm and Brown about Libratus took one of three best paper awards at the Neural Information Processing Systems (NIPS 2017) conference in Long Beach, Calif.

Read more.

Read more about the NIPS award.

Read the Science paper