The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Abstract: Robotic exploration has long captivated researchers aiming to map complex environments efficiently. Techniques such as potential fields and frontier exploration have traditionally been ...
Abstract: Previous multi-agent deep reinforcement learning (MADRL) algorithms have shown strong performance in symmetric scenarios. However, research on numerically disadvantaged scenarios is limited ...
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