Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
Abstract: Recently, artificial neural networks (ANNs) show a great potential in frequency-selective surface (FSS) inverse design. However, it is inevitable to encounter the problem of nonunique ...
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