Meteorological Risk-Aware Route Planning for Low-Altitude Aerial Networks: A Multi-Agent Reinforcement Learning Approach
Unmanned Aerial Vehicle (UAV) swarms operating in low-altitude aerial networks face severe safety threats from complex and dynamic meteorological conditions. However, existing route planning studies often oversimplify these weather impacts into static or binary constraints, lacking refined multi-dimensional risk quanti...