An attention-based recurrent multi-agent RL method for cooperative 3D UAV positioning with fluid antennas is shown in simulation to reduce positioning error relative to two baselines.
Collaborative reinforcement learning based unmanned aerial vehicle (UA V) trajectory design for 3D UA V tracking,
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Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning
An attention-based recurrent multi-agent RL method for cooperative 3D UAV positioning with fluid antennas is shown in simulation to reduce positioning error relative to two baselines.