Omar Rady

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.