Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning
This paper studies the fast and high-performance FA reconfiguration for low-altitude FA networks with multi-agent reinforcement learning (MARL) and presents an electromagnetic digital twin (EM-DT)-assisted MARL framework to fill the sim-to-real gap.
Tong Zhang, Yanan Su, Shuai Wang et al.
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