On-Policy Data-Driven Linear Quadratic Regulator via Model Reference Adaptive Reinforcement Learning. - Marco Borghesi; Alessandro Bosso; Giuseppe Notarstefano (CDC, 2023)

MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR. - Marco Borghesi; Alessandro Bosso; Giuseppe Notarstefano (CoRR, 2024)

Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems. - Alessandro Bosso; Marco Borghesi; Andrea Iannelli; Giuseppe Notarstefano; Andrew R. Teel (CoRR, 2024)

On Sufficient Richness for Linear Time-Invariant Systems. - Marco Borghesi; Simone Baroncini; Guido Carnevale; Alessandro Bosso; Giuseppe Notarstefano (CoRR, 2025)

Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations. - Alessandro Bosso; Marco Borghesi; Andrea Iannelli; Giuseppe Notarstefano; Andrew R. Teel (CoRR, 2025)

DATA-DRIVEN PRONTO: a Model-free Solution for Numerical Optimal Control. - Marco Borghesi; Lorenzo Sforni; Giuseppe Notarstefano (CoRR, 2025)