Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …

Artificial intelligence (AI) and especially reinforcement learning (RL) have the potential to
enable agents to learn and perform tasks autonomously with superhuman performance …

Safety is a critical concern for the next generation of autonomy that is likely to rely heavily on
deep neural networks for perception and control. This paper proposes a method to repair …

Neural network policies trained using Deep Reinforcement Learning (DRL) are well-known
to be susceptible to adversarial attacks. In this paper, we consider attacks manifesting as …

Several methods have been proposed recently to learn neural network (NN) controllers for
autonomous agents, with unknown and stochastic dynamics, tasked with complex missions …

Automated Vehicles rely on intelligent systems to enable safe and efficient transportation.
Thanks to robust perception and reliable communication, automated vehicles will reshape …