Carnegie Mellon University (CMU) researchers developed an artificial intelligence (AI) program that beat elite professional poker players at six-player no-limit Texas hold'em poker.
CMU's Noam Brown and Tuomas Sandholm created the Pluribus AI by updating an earlier program, Libratus, which only plays two-player matches.
The researchers revamped Libratus' search algorithm, which searches to the end of a game before selecting an action. Adding more players negated the practicality of this approach, so Brown and Sandholm invented a technique that permitted Pluribus to make good choices after looking ahead only a few moves.
Pluribus trained itself by initially playing poker randomly, and improved as it ascertained which actions won more money; after each hand, it reevaluated its moves, and checked whether it would have won more with different actions, which it will be more likely to utilize later on.
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