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 Planning & Scheduling


Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Neural Information Processing Systems

Given the description of an environment and a task, we use an LLM guided by the GIF-MCTS method to iteratively generate and refine a candidate CWM. The candidate's correctness is evaluated by checking if it correctly