Code as Policies: Language Model Programs for Embodied Control Abstract Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these codewriting LLMs can be re-purposed to write robot policy code, given natural language commands. Specifically, policy code can express functions
