【DAPO算法原理详解：一个开源的LLM大规模强化学习系统】超越 DeepSeek GRPO的关键RL算法，字节、清华AIR开源DAPO

DAPO：Decouple Clip and Dynamic sAmpling Policy Optimization ，解耦剪辑和动态采样策略优化

Inference scaling empowers LLMs with unprecedented reasoning ability, with reinforcement learning as the core technique to elicit complex reasoning. 

推理扩展法则赋予了LLMs前所未有的推理能力，强化学习作为核心技术来激发复杂推理。

关键词：

Test-time scaling，

Clip-Higher, which promotes the diversity of the system and avoids entropy collapse;

裁剪高概率token，促进系统多样性并避免熵坍缩； 

Dynamic Sampling, which improves training efficiency and stability;