AI models appear to mimic the real world. But how can we tell if they truly understand it?
Excited to announce the ICML 2025 Workshop on Assessing World Models!
Working on related questions? Submit a paper (max. 4 pages) by May 20!
WorldCoder (Hao Tang+Darren Key) interacts with an environment, and writes Python code to model its transition function
haotang1995.github.io/projects/world…
It explores the environment by creating reward functions its world model thinks are feasible, then planning to achieve them.
Learning…
Last, Hao Tang's other paper: REx! This paper happened because we needed to scale WorldCoder to generate 250+ line programs. It uses Thompson Sampling to explore a tree of potential programs that are iteratively improved by LLMs.
REx is a simple algorithm (~10 LoC) that…
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