Mar 3, 2017
Poker-playing AI beats pros using ‘intuition,’ study finds
Posted by Dan Kummer in categories: entertainment, robotics/AI
Computer researchers are betting they can take on the house after designing a new artificial intelligence program that has beat professional poker players.
Researchers from University of Alberta, Czech Technical University and Charles University in Prague developed the “DeepStack” program as a way to build artificial intelligence capable of playing a complex kind of poker. Creating an AI program that can win against a human player in a no-limit poker game has long been a goal of researchers due to the complexity of the game.
Michael Bowling, a professor in the Department of Computing Science in the University of Alberta, explained that computers have been able to win at “perfect” games such as chess or Go, in which all the information is available to both players, but that “imperfect” games like poker have been much harder to program for.
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