Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks

Omid Esrafilian, Harald Bayerlein, David Gesbert

Deep Reinforcement Learning (DRL) is gaining attention as a potential approach to design trajectories for autonomous unmanned aerial vehicles (UAV) used as flying access points in…