CICERO: Human-Level Performance in the Game of Diplomacy by Combining Language Models with Strategic Reasoning

Join us for a talk by Noam Brown, Research Scientist at Open AI. This talk is part of the Kempner Seminar Series, a research-level seminar series on recent advances in the field.

Abstract: In this talk I will describe CICERO, the first AI agent to achieve human-level performance in Diplomacy, a strategy game involving both cooperation and competition that emphasizes natural language negotiation and tactical coordination between seven players. CICERO integrates a language model with planning and reinforcement learning algorithms by inferring players’ beliefs and intentions from its conversations and generating dialogue in pursuit of its plans. Across 40 games of an anonymous online Diplomacy league, CICERO achieved more than double the average score of the human players and ranked in the top 10% of participants who played more than one game.