Learning Game-Playing Agents with Generative Code Optimization

Zhiyi Kuang, Ryan Rong, YuCheng Yuan +1

We present a generative optimization approach for learning game-playing agents, where policies are represented as Python programs and refined using large language models (LLMs). Ou…