Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View

Yixian Xu, Yuanrui Zhang, Shengjie Luo +2

Reinforcement learning (RL) post-training provides a direct way to align diffusion models with human preferences and task-specific rewards. However, current RL algorithms for diffu…