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AI just won a Poker Tournament against Professional Players

  • The poker tournament we posted about earlier this month is finished and the humans lost

just claimed another gaming victory over humans by winning a 20-day poker tournament. The , called Libratus, took on four of the world’s best Heads-Up No-Limit Texas Hold ‘Em poker players at a Pennsylvania casino. After 120,000 hands, Libratus won with a lead of over $1.7 million in chips.

Science is celebrating

“I’m feeling great,” says Tuomas Sandholm , a computer scientist at Carnegie Mellon University who was part of the team that created the . “This is a David versus Goliath story, and Libratus was able to throw a pebble.” A poker-proficient is remarkable because poker is a game of “imperfect information”: players don’t know what cards their opponents have, so never have a full view of the state of play. This means the has to take into account how its opponent is playing and rework its approach so it doesn’t give away when it has a good hand or is bluffing. “It’s a really important milestone for artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time.,” says Georgios Yannakakis at the University of Malta. “This is like reality. The real world is a game of imperfect information, so by solving poker we become one step closer to general artificial intelligence.”

Algorithms can be used everywhere

Libratus’s algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. are not specific to poker, or even just to games. The has not been taught any strategies and instead has to work out its own way to play based on the information it’s given – in this case, the rules of poker. This means that Libratus could be applied to any situation that requires a response based on imperfect information. “There are applications in cybersecurity, negotiations, military settings, auctions and more,” says Sandholm. His lab has also been looking at how can bolster the fight against infections, by viewing treatment plans as game strategies. “You can learn to battle diseases better even if you have no extra medicines at your disposal – you just use them smarter,” says Sandholm. […]

  1. Tripp Braden

    RT @SwissCognitive: #AI just won a Poker Tournament ag#AInst Professional Players https://t.co/6eZUop4AXw #Cybersecurity #Game https://t.co…

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