Entropy-Regularized Adjoint Matching for Offline RL
概要
arXiv:2605.06156v1 Announce Type: cross Abstract: Integrating expressive generative policies, such as flow-matching models, into offline reinforcement learning (RL) allows agents to capture complex, multi-modal behaviors. While Q-learning with Adjoint Matching (QAM) stabilizes policy optimization v…
