PAC-Bayesian Certificates for Quadratic Closed-Loop Control

arXiv·low signal

Domagoj Herceg derives PAC-Bayesian finite-sample guarantees for quadratic closed-loop control, addressing the difficulty of applying these bounds to learning-based controllers. The contribution is a safety/certification result for control engineers rather than a general ML technique, with little immediate applicability for typical AI builders.