Quantifying the Reality Gap for RL-Based UAV Placement at mmWave and Sub-THz

Abdullateef Almohamad, Mostafa Ibrahim, Sabit Ekin +1

Reinforcement learning (RL) policies for unmanned aerial vehicle (UAV) placement in mmWave and sub-terahertz networks are typically trained on simplified analytical channels. We qu…