AINeutralarXiv – CS AI · 10h ago6/10
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From Passive Reuse to Active Reasoning: Grounding Large Language Models for Neuro-Symbolic Experience Replay
Researchers introduce Neuro-Symbolic Experience Replay (NSER), a framework that enhances reinforcement learning by combining Large Language Models with symbolic logic to transform passive memory buffers into active knowledge construction systems. The approach grounds LLM-generated behavioral rules into differentiable logic representations, enabling more efficient policy optimization across multiple benchmark environments.