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Pluribus registered a solid win with statistical significance, which is particularly impressive given its opposition, Elias said. It's a matter of execution for humans - to do this in a perfectly random way and to do so consistently. "That's the same thing that humans try to do.

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"Its major strength is its ability to use mixed strategies," Elias said last week as he prepared for the 2019 World Series of Poker main event.

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A poker-playing AI created by Carnegie Mellon University and Facebook recognizes that a pro poker player is likely bluffing, then calls. But Pluribus placed donk bets far more often than the professionals it defeated. It's seen as a weak move that usually doesn't make strategic sense.

For instance, most human players avoid "donk betting" - that is, ending one round with a call but then starting the next round with a bet. Pluribus' algorithms created some surprising features in its strategy.

"We're elated with its performance and believe some of Pluribus' playing strategies might even change the way pros play the game." "Playing a six-player game rather than head-to-head requires fundamental changes in how the AI develops its playing strategy," said Brown, who joined Facebook AI last year. Courtesy: FacebookĪ research paper, " Superhuman AI for Multiplayer Poker," will be published online by the journal Science on Thursday, July 11. The ability to beat five other players in such a complicated game opens up new opportunities to use AI to solve a wide variety of real-world problems." In this example, a poker-playing AI created by Carnegie Mellon and Facebook sets a trap for pro poker players and wins. "Thus far, superhuman AI milestones in strategic reasoning have been limited to two-party competition. in Carnegie Mellon's Computer Science Department as a research scientist at Facebook AI. "Pluribus achieved superhuman performance at multiplayer poker, which is a recognized milestone in artificial intelligence and in game theory that has been open for decades," said Tuomas Sandholm, Angel Jordan Professor of Computer Science, who developed Pluribus with Noam Brown, who is finishing his Ph.D. Pluribus, a poker-playing AI created by Carnegie Mellon University and Facebook, makes a massive bluff against pro players.and wins. In another experiment involving 13 pros, all of whom have won more than $1 million playing poker, Pluribus played five pros at a time for a total of 10,000 hands and again emerged victorious. Each pro separately played 5,000 hands of poker against five copies of Pluribus.

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The AI, called Pluribus, defeated poker professional Darren Elias, who holds the record for most World Poker Tour titles and Chris "Jesus" Ferguson, winner of six World Series of Poker events. The information which appears on this site is subject to change at any time.An artificial intelligence program developed by Carnegie Mellon University in collaboration with Facebook AI has defeated leading professionals in six-player No-Limit Texas Hold'em poker, the world's most popular form of poker.

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