LAC improves LLM decision-making by computing action scores from token logits and combining them with the model's prior policy through a gradient-free KL-constrained update.
Grounding large language models in interactive environments with online reinforcement learning, 2023 b
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Enhancing Decision-Making of Large Language Models via Actor-Critic
LAC improves LLM decision-making by computing action scores from token logits and combining them with the model's prior policy through a gradient-free KL-constrained update.