no code implementations • 25 Mar 2024 • Andrew Lamperski, Tyler Lekang
Neural networks are regularly employed in adaptive control of nonlinear systems and related methods of reinforcement learning.
no code implementations • 28 Mar 2023 • Tyler Lekang, Andrew Lamperski
Classical results in neural network approximation theory show how arbitrary continuous functions can be approximated by networks with a single hidden layer, under mild assumptions on the activation function.
no code implementations • 18 Jun 2019 • Tyler Lekang, Andrew Lamperski
In this paper, we present simple algorithms for Dueling Bandits.