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 ...
ABSTRACT: Artificial Intelligence (AI) is rapidly transforming global politics and military security, offering both strategic advantages and unprecedented risks. Unlike nuclear or conventional arms, ...
Abstract: In multi-UAV air combat, traditional reinforcement learning (RL) struggles with high computational demands and policy learning inefficiencies arising from complex mission tasks and intensive ...
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