Limits RegistryPUBLIC RECORD
Limits RegistryPluribus, described in a 2019 Science paper by Noam Brown and Tuomas Sandholm, beat groups of professional poker players at six-player no-limit Texas hold'em across 10,000 hands, a substantially harder problem than the earlier two-player result (Libratus) because game-theoretic guarantees for Nash equilibria largely break down with more than two players. It was reportedly trained using under $150 of cloud computing resources, far less than prior game-playing AI milestones.
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Pluribus, described in a 2019 Science paper by Noam Brown and Tuomas Sandholm, beat groups of professional poker players at six-player no-limit Texas hold'em across 10,000 hands, a substantially harder problem than the earlier two-player result (Libratus) because game-theoretic guarantees for Nash equilibria largely break down with more than two players. It was reportedly trained using under $150 of cloud computing resources, far less than prior game-playing AI milestones.
Pluribus, developed by Carnegie Mellon University and Facebook AI Research, defeated a table of five elite human professionals simultaneously (and separately, one elite pro against five copies of itself) at six-player no-limit Texas hold'em, the first superhuman AI result in a poker format with more than two players.
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Permanent ID limitsregistry.com/limits/LR-PLURIBUS-SIX-PLAYER-POKER
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Limits Registry. LR-PLURIBUS-SIX-PLAYER-POKER. Pluribus defeats top humans at six-player no-limit poker. 2026.