Libratus
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AI is better at bluffing than professional gamblers
The act of gambling on games of chance has been around for as long as the games themselves. For as long as there's been money to be made wagering on the uncertain outcomes of these events, bettors have been leveraging mathematics to give them an edge on the house. As gaming has moved from bookies and casinos into the digital realm, gamblers are beginning to use modern computing techniques, especially AI and machine learning (ML), to increase their odds of winning. But that betting blade cuts both ways, as researchers work to design artificial intelligences capable of beating professional players at their own game -- and even out-wagering sportsbooks.
Famous poker-playing AI takes down scientists and engineers
Libratus, the poker-playing AI that crushed four world-class pros in January, has put another group of human players to shame. This time, the upgraded variant of the AI known as "Lengpudashi" or "cold poker master" took on World Series veteran Alan Du and a team of engineers, computer scientists and investors. Instead of using pure poker skills to try and defeat Lengpudashi like the first team did, the new players applied what they know about machine learning to their game. Alas, their strategy didn't work, and the AI still won by a landslide after playing 36,000 hands against the team at a resort on China's Hainan island.
How an AI took down four world-class poker pros
"That was anticlimactic," Jason Les said with a smirk, getting up from his seat. Unlike nearly everyone else in Pittsburgh's Rivers Casino, Les had just played his last few hands against an artificially intelligent opponent on a computer screen. After his fellow players -- Daniel McAulay next to him and Jimmy Chou and Dong Kim in an office upstairs -- eventually did the same, they started to commiserate. The consensus: That AI was one hell of a player.
Libratus, the poker-playing AI, destroyed its four human rivals
The Kenny Rogers classic profoundly states that "you've got to know when to hold 'em, know when to fold 'em," and for the first time, an AI has out-gambled world-class players at heads-up, no-limit Texas Hold'em. Our representatives of humanity -- Jason Les, Dong Kyu Kim, Daniel McAulay and Jimmy Chou -- kept things relatively tight at the outset but a ill-fated shift in strategy wiped out their gains and forced them to chase the AI for the remaining weeks. At the end of day 20 and after 120,000 hands, Libratus claimed victory with daily total of $206,061 in theoretical chips and an overall pile of $1,766,250.
