FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies
arXiv:2603.27450v1 Announce Type: new
Abstract: Thanks to their remarkable flexibility, diffusion models and flow models have emerged as promising candidates for policy representation. However, efficient reinforcement learning (RL) upon these policies…