Abstract

Computer code based on continual problem re-solving beats human professional poker players at a two-player variant of poker.

Keywords

Perfect informationExploitComputer scienceImperfectArtificial intelligenceIntuitionComputationLimit (mathematics)Machine learningCognitive scienceMathematical economicsAlgorithmMathematicsPsychology

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Publication Info

Year
2017
Type
article
Volume
356
Issue
6337
Pages
508-513
Citations
785
Access
Closed

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Social media, news, blog, policy document mentions

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785
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Cite This

Matej Moravčík, Martin Schmid, Neil Burch et al. (2017). DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science , 356 (6337) , 508-513. https://doi.org/10.1126/science.aam6960

Identifiers

DOI
10.1126/science.aam6960