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Author

Roberto Furfaro

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Explainable Stability Certification of Reinforcement Learning Control Policies Using Sparse Dynamics Identification

Reinforcement learning (RL) is a promising alternative to classical guidance and control methods; however, the black-box nature of deep neural network policies and the lack of interpretable stability evidence remain barriers to real-world aerospace adoption. This paper presents an a posteriori methodology using Sparse...

Andrea Scorsoglio, Andrea D'Ambrosio, Roberto Furfaro · 0 citations
#artificial intelligence Preprint Sep 2026

Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders

A deep-learning pipeline for enhancing the detection of faint moving objects in optical space situational awareness (SSA) imagery through automated star removal and background reconstruction is presented, thereby providing an effective data-driven preprocessing strategy for faint moving-object detection in optical SSA...

Angela Cratere, Luca Ghilardi, Vishnu Reddy et al. · 0 citations

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