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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.

Data and Resources

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

DOI retrieved: December 3, 2024

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/