1
Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization
提出Policy Split方法，用双模式熵正则化激励LLM强化学习中的探索，平衡探索与利用。
arXiv:2604.11510v2 Announce Type: replace-cross Abstract: To encourage diverse exploration in reinforcement learning (RL) for large language models (L…