Abstract: We investigate the problem of coordinating multiple automated vehicles (AVs) in confined areas. This problem can be formulated as an optimal control problem (OCP) where the motion of the AVs ...

Abstract: Convolutional neural networks (CNNs), despite their broad applications, are constrained by high computational and memory requirements. Existing compression techniques often neglect ...

With a newly discovered mathematical tool, researchers are hoping to gain unprecedented insight into the structure of complex ...

We develop an endogenous measure of anchoring for short-run expected inflation in a New Keynesian model with full-information rational expectations. Specifically, we allow the fraction of ...