A. Scorsoglio

Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning

R. Linares, R. Furfaro, M. Massari, 2022, Advances in Space Research.

Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions

R. Furfaro, Alessandro Zavoli, A. Scorsoglio, 2022, Acta Astronautica.

Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor

A. D’Ambrosio, R. Furfaro, Alessandro Zavoli, 2022, Journal of Guidance, Control, and Dynamics.

Reinforcement Meta-Learning for Autonomous Image-Based Guidance around Binary Asteroid Systems

A. D’Ambrosio, R. Furfaro, A. Scorsoglio, 2022, AIAA SCITECH 2022 Forum.

Physics-Informed Neural Networks for Closed-Loop Guidance and Control in Aerospace Systems

A. D’Ambrosio, R. Furfaro, E. Schiassi, 2022, AIAA SCITECH 2022 Forum.

Optimal Q-laws via reinforcement learning with guaranteed stability

Roberto Furfaro, Roberto Armellin, Yoshi Hashida, 2021 .

Low-Thrust Trajectory Design Using Closed-Loop Feedback-Driven Control Laws and State-Dependent Parameters

Roberto Armellin, Roberto Furfaro, Harry Holt, 2020, AIAA Scitech 2020 Forum.

Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach pdf

Mauro Massari, Roberto Furfaro, Richard Linares, 2020, ArXiv.

Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop

B. Gaudet, R. Linares, R. Furfaro, 2020, Journal of Spacecraft and Rockets.