https://yiwen-cai.github.io/tags/%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0/Recent content in 强化学习 on Yiwen CaiHugo -- gohugo.iozh-cncaiyiwen.cs@foxmail.com (Yiwen Cai)caiyiwen.cs@foxmail.com (Yiwen Cai)© 2026 Yiwen CaiTue, 04 Aug 2026 15:52:37 +0800https://yiwen-cai.github.io/notes/papers/rl-meets-llms-survey/Tue, 04 Aug 2026 00:00:00 +0000caiyiwen.cs@foxmail.com (Yiwen Cai)https://yiwen-cai.github.io/notes/papers/rl-meets-llms-survey/梳理 RL 如何贯穿 LLM 全生命周期——预训练/Mid-training、RLHF 对齐微调、RLVR 强化推理三条主线；从策略梯度、PPO 到 GRPO 的算法演进，以及 RLVR 是否真正扩展推理能力、熵坍缩与性能上限等争议。