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Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforceme...
This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL). -
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Le...
The Sparse Diffusion Policy (SDP) framework, which integrates Mixture of Experts (MoE) layers into the diffusion policy.