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

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.

Comments (5) Posted to Facebook Poker Chips 09/26/2019 Edit

Facebook AI still has a long way to go

For the first time, an artificial intelligence system has beaten a team of professional poker players in a game of six-player no-limit Texas hold 'em. It's the latest and greatest example yet of AI-powered bots excelling at games that once belonged entirely to humans.To be clear, it didn't just win once: The AI, named Pluribus, played 10,000 hands of the popular poker game across 12 days and 13 different opponents, all professionals. In some scenarios, it played five humans and in others, one human went up against five versions of Pluribus.The AI, which was created by Carnegie Mellon University researchers working with Facebook’s AI initiative, prevailed to win an average of $1,000 an hour, or $5 per hand.

What is less clear is what return the research’s funders—including Facebook and, indirectly, the United States Army—might hope to get on their investments.The gambling machine was built by Carnegie Mellon computer science professor Tuomas Sandholm and his PhD student Noam Brown, who reported their work in a paper in Science today (June 11). Since November, Brown has worked as an AI researcher at Facebook, which bankrolled the $56,000 in prize money divided among the experiment’s 15 poker players. Meanwhile, Sandholm’s game theory research, applied in this poker bot, was in part funded by a grant from the US Army Research Office (ARO). The National Science Foundation and the Pittsburgh Supercomputing Center also contributed to the research.

Not only is the information needed to win hidden from players (making it what’s known as an “imperfect-information game”), it also involves multiple players and complex victory outcomes. The game of Go famously has more possible board combinations than atoms in the observable universe, making it a huge challenge for AI to map out what move to make next. But all the information is available to see, and the game only has two possible outcomes for players: win or lose. This makes it easier, in some senses, to train an AI on. Stay tuned to 777chips.com and we will be the first one to inform you all the latest. Besides, our website also offer Cheap Facebook Chips for players.

Comments (2) Posted to Facebook Poker Chips 07/29/2019 Edit

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