Libratus
A poker-playing AI system developed at Carnegie Mellon University. Libratus employs the Counterfactual Regret Minimization (CFR) algorithm and demonstrated the ability to defeat professional players in heads-up no-limit Texas Hold'em.
Timeline (last 90 days)
Texas Hold'em poker was once the landmark battleground for imperfect-information AI research, with systems such as Libratus and Pluribus achieving successive breakthroughs.
Noam Brown is known for developing the poker AI Libratus and the diplomacy game AI Cicero.
Both Libratus and Cicero involve imperfect-information games and strategic deception.
AI systems such as Libratus and Pluribus have defeated professional poker players on multiple occasions.
CFR and its variants are the theoretical foundation of poker AIs such as DeepMind's Libratus and Pluribus.
All Facts (5)
Texas Hold'em poker was once the landmark battleground for imperfect-information AI research, with systems such as Libratus and Pluribus achieving successive breakthroughs.
50%UnverifiedNoam Brown is known for developing the poker AI Libratus and the diplomacy game AI Cicero.
50%UnverifiedBoth Libratus and Cicero involve imperfect-information games and strategic deception.
50%UnverifiedAI systems such as Libratus and Pluribus have defeated professional poker players on multiple occasions.
50%UnverifiedCFR and its variants are the theoretical foundation of poker AIs such as DeepMind's Libratus and Pluribus.
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