#human feedback

Researchers introduce Regularized Policy Gradient (RPG), a novel framework leveraging KL divergence in off-policy reinforcement learning to significantly improve reasoning and training stability in large language models.

DanceGRPO introduces a unified reinforcement learning framework that enhances visual generation across multiple paradigms and tasks, significantly improving visual quality and alignment with human preferences.