Joint Optimization of UAV-Mounted RIS-Assisted Mobile Edge Computing Using Deep Reinforcement Learning
This study considers a UAV-RIS-assisted MEC system and proposes a joint optimization scheme for local computation, task offloading, and RIS phase control, while taking into account stochastic task arrivals and channel variations, which outperforms conventional centralized DDPG, TD3, and MADDPG schemes.