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Humans Cruise to $732,713 Win Over Poker AI

By Steve Crowe | May 12, 2015

Polk did credit Claudico for never tilting. “You’re playing a cold-blooded killer because when he goes all in and you snap him off and win his stack, he’s not scared now, he’s just computing, right?” Polk said.

Les, on the other hand, was down $228,066 after one week. But he managed to have some success against Claudico in the later stages of the competition.

“The computer definitely bluffs and does all sorts of other tricks that human poker players know, but the key is that we don’t program in the bluffing,” Sandholm says. “So the algorithms themselves figure out the strategy, how to bluff, when to bluff, in what situations and so forth.

Claudico’s strategy was created using algorithms rather than trying to program in human poker expertise. The algorithms ran on the Pittsburgh Supercomputing Center’s Blacklight computer with just the rules of poker as input.

The same sort of algorithms could also be used to create strategies for applications involving cybersecurity, business transactions and medicine. For instance, an AI similar to Claudico might help doctors develop sequential treatment plans for a patient, or design drugs that are less prone to resistance. Or, such an AI might help people negotiate their best deal when purchasing a house or a car.

See Also: Meet the Creepy Humanoid Robot That Resembles Sarah Palin


Doug Polk takes on Claudico.

An earlier version of the computer program, called Tartanian7, decisively won the Heads-up No-limit Texas Hold’em category against each opponent with statistical significance of the Association for the Advancement of Artificial Intelligence’s Annual Computer Poker Competition last July. The poker pros had a chance to observe Tartanian7’s play prior to this spring’s competition.

Poker has become a major test AI because it is an incomplete information game and no two players have the same strategy. With 80,000 hands of new data in hand, Sandholm says his team already has ideas for improving Claudico.

“Beating humans isn’t really our goal; it’s just a milestone along the way,” Sandholm says. “What we want to do is create an artificial intelligence that can help humans negotiate or make decisions in situations where they can’t know all of the facts.”

No actual wagering took place during the exhibition, though the pros will receive appearance fees based on their performance from a prize purse of $100,000 donated by Rivers Casino and Microsoft Research.

Pages: 1 2

About The Author

Steve Crowe

Steve Crowe is Executive Editor, Robotics, WTWH Media, and chair of the Robotics Summit & Expo and RoboBusiness. He is also co-host of The Robot Report Podcast, the top-rated podcast for the robotics industry. He joined WTWH Media in January 2018 after spending four-plus years as Managing Editor of Robotics Trends Media. He can be reached at scrowe@wtwhmedia.com

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