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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330 Stars
31 Forks
330 Watchers
Python Language
apache-2.0 License
100 SrcLog Score
Cost to Build
$1.85M
Market Value
$4.74M
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3 data points  ·  2025-09-25 → 2026-04-21
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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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