Superhuman AI for multiplayer poker
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 30, 2019
- Source ID
- 10.1126/science.aay2400
Entities
People
- Noam Brown
- Tuomas Sandholm
Organizations
- Army Research Office
- Carnegie Mellon University
- Facebook AI Research
- Meta
- National Science Foundation