Research Article

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

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Science  05 May 2017:
Vol. 356, Issue 6337, pp. 508-513
DOI: 10.1126/science.aam6960

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Artificial intelligence masters poker

Computers can beat humans at games as complex as chess or go. In these and similar games, both players have access to the same information, as displayed on the board. Although computers have the ultimate poker face, it has been tricky to teach them to be good at poker, where players cannot see their opponents' cards. Moravčík et al. built a code dubbed DeepStack that managed to beat professional poker players at a two-player poker variant called heads-up no-limit Texas hold'em. Instead of devising its strategy beforehand, DeepStack recalculated it at each step, taking into account the current state of the game. The principles behind DeepStack may enable advances in solving real-world problems that involve information asymmetry.

Science, this issue p. 508

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