Pluribus often made much larger bets that human players typically avoid

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Earlier this year, more than a dozen professional poker players participated in the unusual Texas Hold'em competition. Veterans oppose a newcomer: artificial intelligence powered bots built by Facebook and Carnegie Mellon University. AI has destroyed chess players and professional Go, both of which are board games with direct rules. Poker also has clear rules. But that's considered more difficult because you can't see your opponent's hand and it requires emotional manipulation through tactics such as bluffing. The contest adds a layer of complexity, because each game features six players, creating more scenarios to be managed by AI.

In a match against five human professionals, Pluribus wins an average of 48 milli-big blinds per game - a measure of how many big blinds are won on average per thousand poker hands. Every human player is given an alias during the tournament, to prevent people who know each other from potentially joining Pluribus. In addition, Cheap FB Poker Chips is on hot sale at our website 777chips.com.

"We are not trying to hide who the bot is," Brown said, partly because the style of play was clear - Pluribus played the first few actions in a single instant because he had prepared his strategy for those movements, while a human player usually needed a few seconds to decide . Knowing which player is Pluribus means human players can try to cheat AI, said Jason Les, a professional poker player involved in the tournament. He played in a round that pitted five humans against Pluribus, playing around 2000 hands for 12 days.

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