Abstract: In this paper, a physics-informed generative adversarial network (GAN) framework is proposed for computationally efficient radiation pattern synthesis of series-fed linear arrays. In the ...
Abstract: Recent advancements in multiagent reinforcement learning (MARL) have shown significant progress in the field of autonomous driving. However, the key issue of guaranteeing safe ...
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