A variational-Bayes distillation framework (Habi) turns slow diffusion planners into fast feedforward policies that match their performance at orders-of-magnitude higher decision frequency on D4RL benchmarks.
Score regularized policy optimization through diffusion behavior
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Habitizing Diffusion Planning for Efficient and Effective Decision Making
A variational-Bayes distillation framework (Habi) turns slow diffusion planners into fast feedforward policies that match their performance at orders-of-magnitude higher decision frequency on D4RL benchmarks.