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Superhuman AI for multiplayer poker

Authors :
Tuomas Sandholm
Noam Brown
Source :
Science. 365:885-890
Publication Year :
2019
Publisher :
American Association for the Advancement of Science (AAAS), 2019.

Abstract

AI now masters six-player poker Computer programs have shown superiority over humans in two-player games such as chess, Go, and heads-up, no-limit Texas hold'em poker. However, poker games usually include six players—a much trickier challenge for artificial intelligence than the two-player variant. Brown and Sandholm developed a program, dubbed Pluribus, that learned how to play six-player no-limit Texas hold'em by playing against five copies of itself (see the Perspective by Blair and Saffidine). When pitted against five elite professional poker players, or with five copies of Pluribus playing against one professional, the computer performed significantly better than humans over the course of 10,000 hands of poker. Science , this issue p. 885 ; see also p. 864

Details

ISSN :
10959203 and 00368075
Volume :
365
Database :
OpenAIRE
Journal :
Science
Accession number :
edsair.doi.dedup.....1c740e0bf2efea90176cbbea385ad096
Full Text :
https://doi.org/10.1126/science.aay2400