Abstract: With the increasing complexity of badminton, traditional methods for technical and tactical decision-making often struggle to handle high-frequency, high-complexity match scenarios. To ...
Abstract: While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network makes decisions in an opaque manner that hinders ...
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