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AI Beats The Professionals At 6-Player Texas Hold 'Em

09/26/2019

Earlier this year, more than a dozen professional poker players participated in an unusual competition of Texas Hold'em. The veterans went against a relative newbie: an artificial intelligence-powered bot built by Facebook and Carnegie Mellon University. AI has crushed professional players of chess and Go, both board games with straightforward rules. Poker, too, has clear rules. But it's considered trickier because you can't see an opponent's hand and it requires manipulating emotions through tactics such as bluffing. The contest added a layer of complexity, as each game featured six players, creating more sets of scenarios for the AI to manage.

"Pluribus achieved superhuman performance at multi-player 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. in Carnegie Mellon's Computer Science Department as a research scientist at Facebook AI. "Thus far, superhuman AI milestones in strategic reasoning have been limited to two-party competition. 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." Buy Cheap Facebook Chips on 777chips.com with Cheap Price and Safe Payment.

There’s also the hope that the techniques used to create Pluribus will be transferrable to other situations. Many scenarios in the real world resemble Texas Hold ‘em poker in the broadest sense — meaning they involve multiple players, hidden information, and numerous win-win outcomes.

Brown, Pluribus' developer, says it's exciting that a bot could teach humans new strategies and ultimately improve the game. "I think those strategies are going to start penetrating the poker community and really change the way professional poker is played," he said. And the bot's success has implications beyond poker. Brown says their AI technology could eventually be useful in other situations where there are multiple people involved and a lot of unknown variables, like getting a self-driving car through traffic.