A.I Just Beat The Best Human Players At Poker

Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans at poker

11, poker pros are competing against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games.

After 20 days of play at a casino in Pittsburgh, an AI built by two Carnegie Mellon researchers officially defeated four top players at no-limit Texas Hold 'Em a particularly complex form of poker that relies heavily on longterm betting strategies and game theory.

But this time, they won handily: Across 20 days of play, Libratus topped its four human competitors by more than $1.7 million, and all four humans finished with a negative number of chips.

The human players who along with McAulay include Dong Kim, Jason Les, and Jimmy Chou believe that the machine's play changed from day to day.

Sandholm and Brown may have worked to change the machine's behavior from day to day, as they did when their earlier AI, Claudiro, went up against human players nearly two years ago.

Though the game was heads-up Hold 'Em meaning each player was playing his own game against the machine they would share strategies in the evenings.


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