CorrGRPO Normalizes Rewards for Multi-Objective Learning

CorrGRPO improves Group Relative Policy Optimization for multi-reward scenarios by normalizing pairwise reward covariances into Pearson correlations. This prevents large-scale correlated rewards from dominating the advantage signal and suppressing smaller-scale reward components.