Abstract: Previous multi-agent deep reinforcement learning (MADRL) algorithms have shown strong performance in symmetric scenarios. However, research on numerically disadvantaged scenarios is limited ...
Abstract: Detecting maritime targets with radar in complicated sea conditions is challenging due to the strong sea clutter. To address this problem, we propose a multiframe disentangling and unifying ...
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