arXiv:2409.10188
공식 코드 · Papers with Code
Enhancing RL Safety with Counterfactual LLM Reasoning
원문 초록
Reinforcement learning (RL) policies may exhibit unsafe behavior and are hard to explain. We use counterfactual large language model reasoning to enhance RL policy safety post-training. We show that our approach improves and helps to explain the RL policy safety.
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