Author

Ryne Beeson

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#machine learning Preprint Sep 2026

Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation

Diffusion-based generative models (DMs) have found applications in control problems, and in particular robotics, where the DMs enable exploration of possible control solutions. A critical shortcoming of these applications is that they have lacked optimality guarantees. This is a problem for their potential use in fuel-...

Saeid Tafazzol, Ehsan Taheri, Ryne Beeson · 0 citations

Jul 2026

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

The approach proposed in this paper enables a more capable DDDAS paradigm by improving the efficiency of the data-model-optimization loop by extracting a generalization bound based on Rademacher complexity that reveals the role of the $k-neighborhoods and related parameters.

Anjian Li, Ryne Beeson · arXiv.org · 0 citations