arxiv
PublishedMay 11, 2026 at 4:00 AM
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
Publisher summary· verbatim
arXiv:2605.06156v2 Announce Type: replace-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 optimiz
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Originally published on arxiv ↗