LLM-Guided Reinforcement Learning for Interactive Environments

We propose herein <b>LLM-Guided Reinforcement Learning (LGRL)</b>, a novel framework that leverages large language models (LLMs) to decompose high-level objectives into a sequence of manageable subgoals in interactive environments. Our approach decouples high-level planning from low-leve...

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Bibliographic Details
Main Authors: Fuxue Yang, Jiawen Liu, Kan Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/12/1932
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