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LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL
While offline reinforcement learning (RL) enables policy optimization from static datasets without costly online interaction, it remains bottlenecked by the risk of executing out-of-distribution (OOD) actions. Recent approaches mitigate this by learning a behavior-cloning policy through flow matchin
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