Self-Attention Enhanced Multi-Agent Reinforcement Learning for UAV Trajectory Design in MEC Networks
Nowadays, Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC) has been widely recognized as a promising technique for flexibly and effectively handling computation-intensive and delay-sensitive tasks in 5G advanced and 6G networks. This paper investigates the joint optimization of UAV trajectory and comp...