This repository aggregates academic papers, codebases, and resources on using diffusion models within reinforcement learning contexts. It organizes work published at top ML venues (NeurIPS, ICML, ICLR) covering topics like behavior synthesis, policy learning, and planning with diffusion-based methods. The list is maintained by OpenDILab and serves as a reference for researchers working on the intersection of generative models and RL agents.