Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.
Double q-learning
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Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.