Dr. Noam Brown
Research Scientist (Reasoning & Search Lead)
Research Scientist at OpenAI leading reasoning models and inference-time search, and former research scientist at Meta FAIR. Co-creator of Libratus, Pluribus, and CICERO, the first AI systems to achieve superhuman performance in imperfect-information multiplayer games and natural language diplomacy.
Areas of focus
Professional niches
Proof of Work
Human-level Play in the Game of Diplomacy with Open-Source CICERO
Lead author of the landmark Science 2022 paper creating CICERO, which combined strategic reasoning (piKL planning algorithm) with dialogue generation to negotiate, coordinate, and achieve human-level play in full-game Diplomacy.
Dialogue filtering requires strict truthfulness classifiers to prevent strategic hallucinations that violate game rules.
Context: Strategic value iteration, filtered Monte Carlo dialogue planning, 7-player cooperative-competitive games.
View missionSuperhuman AI for Multiplayer Poker: Pluribus
Developed Pluribus, the first AI to defeat elite human professionals in six-player no-limit Texas hold'em, demonstrating that depth-limited search with real-time belief distribution solving can scale to high-dimensional imperfect information.
Imperfect information equilibrium computation is computationally expensive for state spaces exceeding billions of action sequences.
Context: Monte Carlo CFR (Counterfactual Regret Minimization), depth-limited subgame solving.
View mission