Zhanhong Sun

Goal-Guided Reinforcement Learning: Leveraging Large Language Models for Long-Horizon Task Decomposition

Reinforcement learning (RL) has long struggled with exploration in vast state-action spaces, particularly for intricate tasks that necessitate a series of well-coordinated actions. Meanwhile, large language models (LLMs) equipped with fundamental knowledge have been utilized for task planning across