This paper addresses learning safe control laws from expert demonstratio...
Commonly used optimization-based control strategies such as model-predic...
The need for robust control laws is especially important in safety-criti...
Motivated by the lack of systematic tools to obtain safe control laws fo...
While deep learning has resulted in major breakthroughs in many applicat...
Inspired by the success of imitation and inverse reinforcement learning ...
We consider a class of discrete optimization problems that aim to maximi...
Tight estimation of the Lipschitz constant for deep neural networks (DNN...