LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents

no code implementations • 14 Oct 2023 • Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov

In this work, we propose LgTS (LLM-guided Teacher-Student learning), a novel approach that explores the planning abilities of LLMs to provide a graphical representation of the sub-goals to a reinforcement learning (RL) agent that does not have access to the transition dynamics of the environment.

Reinforcement Learning (RL)