Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control

Andrew Lamperski, Tyler Lekang

Neural networks are regularly employed in adaptive control of nonlinear systems and related methods of reinforcement learning. A common architecture uses a neural network with a si…