Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models
Alibaba has introduced Group Sequence Policy Optimization (GSPO), an innovative reinforcement learning algorithm designed to enhance the training stability of large-scale language models like Qwen3. Unlike previous methods such as GRPO, which suffer from high-variance noise and catastrophic failures due to improper importance sampling and clipping mechanisms, GSPO aims to address these stability issues by refining the policy optimization process, enabling more reliable and efficient training of models capable of complex reasoning tasks. This development marks a significant step forward in scaling reinforcement learning for large language models, potentially improving their performance in tasks requiring deep reasoning, such as advanced mathematics and programming
