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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| 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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