Collaborative resource allocation in UAV-assisted MEC networks: A heterogeneous MAPPO scheme
This paper proposes a heterogeneous multi-agent proximal policy optimization (MAPPO)-based framework where both user devices and UAVs act as heterogeneous agents and utilizes a centralized training and decentralized execution (CTDE) paradigm to enable collaborative strategies between computing requesters and providers.
Ming Cheng, Canlin Zhu, Jiang-Hang Tang et al.
· Journal of King Saud Univers... · 0 citations