Abstract: This article presents an expanded form of time-to-go polynomial guidance (TPG), which generalizes constant-gain TPG to accommodate arbitrary time-varying functions. The proposed guidance law ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
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