Feb

7

 Kenny Rogers comes to mind. Not having visible emotions or tells though would also seem to be a machine advantage over the mortal holders and folders.

"Inside the Poker AI That Out-Bluffed the Best Humans"

Through an algorithm called counterfactual regret minimization, it began by playing at random, and eventually, after several months of training and trillions of hands of poker, it too reached a level where it could not just challenge the best humans but play in ways they couldn't—playing a much wider range of bets and randomizing these bets, so that rivals have more trouble guessing what cards it holds. "We give the AI a description of the game. We don't tell it how to play," says Noam Brown, a CMU grad student who built the system alongside his professor, Tuomas Sandholm. "It develops a strategy completely independently from human play, and it can be very different from the way humans play the game."


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