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Superhuman AI for multiplayer poker
Noam Brown1,2, Tuomas Sandholm1,3,4,5
1Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. noamb@cs.cmu.edu sandholm@cs.cmu.edu.
Abstract:
In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such benchmarks, including poker, have been limited to two-player games. However, poker in particular is traditionally played with more than two players. Multiplayer games present fundamental additional issues beyond those in two-player games, and multiplayer poker is a recognized AI milestone. In this paper we present Pluribus, an AI that we show is stronger than top human professionals in six-player no-limit Texas hold'em poker, the most popular form of poker played by humans.
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