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. Each pro separately played 5,000 hands of poker against five copies of Pluribus. 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. "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."
A computer has beaten five of the world's champion players at poker -- a game once thought too difficult for machines to master. It is the latest milestone marking the superior powers of machines over people and the first time a computer has beaten more than one opponent in a complex game of strategy and calculation. Computers first defeated the human world champion at chess in 1996 -- and the even-more complex Chinese strategy game of Go two years ago. But poker has posed a tougher challenge as it involves several players around the table. And unlike in chess or Go, the computer does not have access to all the information available as it cannot see its opponent's cards.
Facebook has achieved a major milestone in artificial intelligence (AI) thanks to one of its systems beating six professional poker players at no-limit Texas hold'em. The Pluribus AI defeated renowned players including Darren Elias, who holds the record for most World Poker Tour titles. Beating poker pros has been a major challenge for AI researchers, as the best players need to be good at bluffing and unpredictable. "Playing a six-player game rather than head-to-head requires fundamental changes in how the AI develops its playing strategy," said Noam Brown, a research scientist at Facebook AI. "We're elated with its performance and believe some of Pluribus's playing strategies might even change the way pros play the game." The breakthrough comes two years after an AI algorithm developed by Google-owned DeepMind helped a computer beat a human champion at the notoriously complicated board game Go for the first time.
During one experiment, the poker bot Pluribus played against five professional players. During one experiment, the poker bot Pluribus played against five professional players. In artificial intelligence, it's a milestone when a computer program can beat top players at a game like chess. But a game like poker, specifically six-player Texas Hold'em, has been too tough for a machine to master -- until now. Researchers say they have designed a bot called Pluribus capable of taking on poker professionals in the most popular form of poker and winning.
An artificial intelligence called Pluribus has emerged victorious from a marathon 12-day poker session during which it played five human professionals at a time. Over 10,000 hands of no-limit Texas hold'em, the most popular form of the game, Pluribus won a virtual $48,000 (£38,000), beating five elite players who were selected each day from a pool who agreed to take on the program. All of the pros had previously won more than $1m playing the game. What counts as a beating for humanity ranks as a milestone for AI. No computer program has ever achieved superhuman performance against multiple poker players.