AIBullisharXiv – CS AI · Mar 37/107
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LLM-assisted Semantic Option Discovery for Facilitating Adaptive Deep Reinforcement Learning
Researchers have developed a new framework that combines Large Language Models (LLMs) with Deep Reinforcement Learning to improve data efficiency, interpretability, and cross-environment transferability. The approach uses LLMs to map natural language instructions into executable rules and create semantically annotated options for better skill reuse and constraint monitoring.