GitHub / 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.
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Stars: 230
Forks: 16
Open issues: 0
License: apache-2.0
Language: Python
Size: 36.9 MB
Dependencies parsed at: Pending
Created at: 11 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: control, diffusion, diffusion-models, optimization, planning, rl, sampling-methods, trajectory, trajectory-optimization, zeroth-order-optimization