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 (7 months ago)

Commits 251 (last one 2 months ago)

Stargazers 193 (2 this week)

Watchers 5 (0 this week)

Forks 10

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these LeCAR-Lab/model-based-diffusion is ranked #185,778 (69th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,304/17,543.

LeCAR-Lab/model-based-diffusion is also tagged with popular topics, for these it's ranked: optimization (#327/901), diffusion-models (#241/639), control (#95/243)

Other Information

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

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updated: 2024-12-17 @ 09:30pm, id: 804533296 / R_kgDOL_Q0MA