trained with less than $150 worth of cloud computing resources-further mastered poker strategy by playing against copies of itself and learning through trial and error. Soon, the bot “was improving very rapidly, from being a mediocre player to basically a world-class-level poker player in a matter of days and weeks.” The experience, Elias says, was “pretty scary.”Īccording to the Verge’s James Vincent, Pluribus-a surprisingly low-cost A.I. Speaking with Kennedy, four-time World Poker Tour champion Darren Elias explains that he helped train Pluribus by competing against four tables of bot rivals and alerting scientists when the A.I. This rate is considered a “decisive margin of victory” among poker professionals. won an average of around $5 per hand, or $1,000 per hour, when playing against five human opponents. Initially, Merrit Kennedy writes for NPR, five versions of the bot faced off against one professional poker player in the next round of experiments, one bot played versus five humans. lab and Carnegie Mellon University report in the journal Science, Pluribus emerged victorious in both human- and algorithm-dominated matches. It is the first bot to beat humans in a complex multiplayer competition.Īs researchers from Facebook’s A.I. because it involves multiple players and a plethora of hidden information.Ī computer program called Pluribus has bested poker pros in a series of six-player no-limit Texas Hold’em games, reaching a milestone in artificial intelligence research.
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