How an AI program bested the pros in poker

Poker match
Professional poker player Jason Les matches wits with Libratus, Carnegie Mellon University’s poker-playing AI program. (CMU via YouTube)

You got to know when to hold ’em, and know when to fold ’em — and when it comes to betting on human superiority in the game of poker, it may be time to fold ’em.

Carnegie Mellon University researchers laid their cards on the table in a study published this week in the journal Science, explaining how they designed their Libratus AI program to beat four professional poker players in no-limit Texas Hold’em.

It’s one more domino to fall in a series of human vs. machine gaming experiments — starting with checkers and chess, and moving on to the ancient board game known as Go.

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