MIT Assistant Professor Gabriele Farina combines game theory, machine learning, and optimization to advance AI decision-making in complex multi-agent scenarios. His research focuses on finding Nash equilibria efficiently and handling imperfect information — situations where agents must act strategically without full knowledge of others' states. Notable work includes contributing to Meta's Cicero AI (capable of negotiation and bluff detection) and developing new algorithms that achieved superhuman performance in Stratego for under $10,000, far less than previous million-dollar efforts. Farina received the NSF CAREER Award in 2025 and aims to incorporate these techniques into broader AI pipelines.
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