Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks
In this paper, the design of an optimal trajectory for an energy-constrained drone operating in dynamic network environments is studied. In the considered model, a drone base station (DBS) is dispatched to provide uplink connectivity to ground users whose demand is dynamic and unpredictable. In this case, the DBS's trajectory …