LeCAR-Lab / model-based-diffusion

Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.

Date Created 2024-05-22 (4 months ago)

Commits 250 (last one about a month ago)

Stargazers 137 (11 this week)

Watchers 4 (0 this week)

Forks 5

License apache-2.0

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RepositoryStats indexes 565,279 repositories, of these LeCAR-Lab/model-based-diffusion is ranked #228,213 (60th percentile) for total stargazers, and #366,496 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,372/16,285.

LeCAR-Lab/model-based-diffusion is also tagged with popular topics, for these it's ranked: optimization (#380/855), control (#111/229)

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Homepage URL: https://lecar-lab.github.io/mbd/

All Topics

rl control planning diffusion trajectory optimization diffusion-models sampling-methods trajectory-optimization zeroth-order-optimization

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250 commits on the default branch (main) since jan '22

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updated: 2024-09-27 @ 04:06pm, id: 804533296 / R_kgDOL_Q0MA