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. 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. Although machine learning has already reached superhuman levels in board games like chess and Go, and computer games like Starcraft II and Dota, six-person no-limit Texas Hold ‘em represents, by some measures, a higher benchmark of difficulty. In a paper published in Science, the scientists behind Pluribus say the victory is a significant milestone in AI research. It’s really hard to pin him down on any kind of hand,” Chris Ferguson, a six-time World Series of Poker champion and one of the 12 pros drafted against the AI, said in a press statement. “Pluribus is a very hard opponent to play against. “we’re at a superhuman level and that’s not going to change.”
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