A new prototype application has been developed that enables large language models (LLMs) to play the board game Diplomacy. This project utilizes a Python diplomacy package for move generation, with each nation in the game being controlled by an LLM. These LLMs are augmented with a Monte Carlo Tree Search (MCTS) to assist in planning and evaluating their moves. While currently not a strong opponent and running slowly, the underlying architecture is considered interesting. AI
IMPACT Demonstrates potential for LLMs in complex strategic decision-making and game-playing scenarios.
RANK_REASON Prototype application integrating LLMs with a board game.
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