Computer Science
DiffuserLite: Towards Real-time Diffusion Planning
Z. Dong, J. Hao, et al.
DiffuserLite introduces a super fast, lightweight diffusion planning framework that uses a planning refinement process (PRP) to generate coarse-to-fine trajectories, dramatically reducing redundant modeling and boosting decision-making frequency to 122.2Hz (112.7x faster than prior approaches). It attains state-of-the-art results on D4RL, Robomimic, and FinRL benchmarks and can plug into other diffusion planners. This research was conducted by Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, and Yan Zheng.
Related Publications
Explore these studies to deepen your understanding of the subject.

