LLM tutoring modestly accelerates RL convergence on average, with advice reuse saving wall-clock time but reducing stability.
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
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Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
LLM tutoring modestly accelerates RL convergence on average, with advice reuse saving wall-clock time but reducing stability.