Large Language Models as Generalizable Policies for Embodied Tasks

Andrew Szot, Max Schwarzer, Harsh Agrawal +6

We show that large language models (LLMs) can be adapted to be generalizable policies for embodied visual tasks. Our approach, called Large LAnguage model Reinforcement Learning Po…