Stabilizing Rubric Integration Training via Decoupled Advantage Normalization

1. 1Integrate process-level evaluation into Group Relative Policy Optimization (GRPO)
2. 2Apply decoupled advantage normalization to address limitations of existing reward designs
3. 3Evaluate the effectiveness of PAPO in stabilizing rubric integration training

AI engineers and researchers on a team benefit from this method as it improves the stability of rubric integration training, and product managers can apply this to optimize policy optimization in various applications

💡 Decoupled advantage normalization can stabilize rubric integration training

💡 PAPO method improves stability of rubric integration training via decoupled advantage normalization