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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

The Sparse Diffusion Policy (SDP) framework, which integrates Mixture of Experts (MoE) layers into the diffusion policy.

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Cite this as

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding (2024). Dataset: Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. https://doi.org/10.57702/tkn5hmfj

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Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2407.01531
Author Yixiao Wang
More Authors
Yifei Zhang
Mingxiao Huo
Ran Tian
Xiang Zhang
Yichen Xie
Chenfeng Xu
Pengliang Ji
Wei Zhan
Mingyu Ding
Homepage https://forrest-110.github.io/sparse_diffusion_policy/