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 h
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Free · no card · unsubscribe anytimeOfficial 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 h
model-based-diffusion has 339 stars on GitHub. It has been forked 33 times. model-based-diffusion is written mainly in Python. It has been in active development since 2024. model-based-diffusion is available under the Apache-2.0 license. Its main topics are control, diffusion, diffusion-models, optimization.
What is 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 h
Is model-based-diffusion open source?
model-based-diffusion is an open-source project. It is released under the Apache-2.0 license.
Is model-based-diffusion free?
Yes. model-based-diffusion is free and open source — you can use, modify and self-host it.
What license does model-based-diffusion use?
model-based-diffusion is available under the Apache-2.0 license.
What language is model-based-diffusion written in?
model-based-diffusion is written mainly in Python.
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