Abstract: This paper proposes a dynamic multi-agent reinforcement learning model DMARL-RAP. The algorithm constructs a three-dimensional state space, integrates historical resource data (time series ...

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Abstract: In unknown environments, achieving autonomous navigation for uncrewed aerial vehicles (UAVs) is a complex task. Ensuring that UAVs reach their destinations safely and efficiently remains a ...

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Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate ...

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Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...