SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation

Wen Wang, Jiahua Bao, Tu Yongsiqi +8

We aim to improve model performance in multi-reward reinforcement learning training process. Existing Group reward-Decoupled Normalization Policy Optimization (GDPO) has mitigated…