Abstract: We consider an arbitrary network of M/M/∞ queues with controlled transitions between queues. We consider optimal control problems where the costs are linear functions of the state and inputs ...

Abstract: We introduce a deep learning-based optimization method that enhances the design of sparse phased array by reducing grating lobes. Our approach begins with a generation of sparse antenna ...