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Ali Arafa

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Preprint Aug 2026

Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage

Numerical evaluations reveal that the multi-agent DDPG approach substantially outperforms single-agent in dense scenarios, and the multi-agent demonstrates highly efficient computational convergence of dense scenarios with $400$ users.

Omar Rady, Mohamed Ayman, Ali Arafa et al. · 0 citations

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