An LLM identifies critical states, suggests corrective actions, and assigns shaped rewards to refine an existing RL policy, beating several baselines in Pong and MuJoCo.
Imitation learning from vague feedback.Advances in Neural Information Processing Systems, 36:48275–48292, 2023
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LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation
An LLM identifies critical states, suggests corrective actions, and assigns shaped rewards to refine an existing RL policy, beating several baselines in Pong and MuJoCo.