Simulation of Multi-objective Resource Allocation Dynamic Model based on Deep Reinforcement Learning
Abstract: With the growth of computing power and the emergence of big data, resource allocation has become particularly critical in various application fields. Traditional resource allocation methods ...
Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
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