Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems

Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy +2

A promising way to mitigate the expensive process of obtaining a high-dimensional signal is to acquire a limited number of low-dimensional measurements and solve an under-determine…