Roberto Furfaro

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...