The rise of autonomous mobility has increased the demand for efficient energy management in Connected and Automated Electric Vehicles (CAEVs) and Unmanned Aerial Vehicles (UAVs). Traditional plug-in charging is often impractical due to fixed locations and operational downtime, driving interest in wireless solutions such as laser beaming and magnetic resonance charging. This article explores Deep Reinforcement Learning (DRL)-based wireless charging strategies within Intelligent Transportation Sys
