model-based-diffusion

model-based-diffusion

LeCAR-Lab

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.

optimization
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289 Stars
29 Forks
289 Watchers
Python Language
apache-2.0 License
Cost to Build
$1.80M
Market Value
$5.43M
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1 data points  ·  2025-09-25 → 2025-09-25
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What is the LeCAR-Lab/model-based-diffusion GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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