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Superhuman AI for multiplayer poker
- 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
- Subjects :
- 0209 industrial biotechnology
Engineering
Multidisciplinary
business.industry
Pluribus
02 engineering and technology
Data science
020901 industrial engineering & automation
Game Theory
Games, Recreational
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Milestone (project management)
Humans
020201 artificial intelligence & image processing
business
Game theory
Subjects
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