… to the air–ground coordinated communications system and propose air–ground PMADDPG
(… 4) We analyze the air–ground coordinated communications system from the perspective of …

… we present a novel deep reinforcement learning based traffic offloading … algorithms such as
deep reinforcement algorithms is … Therefore we propose a smart deep reinforcement learning …

… , air-based, and ground-based networks have shown a trend of integration. Compared with
the traditional communications system, Space-Air-Ground … distributed Deep Reinforcement …

The air-ground cooperative emergency networks can assist … vehicles (UAVs) and unmanned
ground vehicles (UGVs) are … In this paper, federated multi-agent deep deterministic policy …

… To achieve this goal, space-air-ground integrated network (SAGIN) has been proposed as
an integration of space networks, air networks, and ground networks in recent years. Satellite …

… In this paper, we proposed an end-to-end deep reinforcement learning framework incorporating
search-based approaches for air–ground unmanned system navigation named SO-DRL…

… ground-to-air confrontation based on the principle of using the least resources and minimum
damage to the protected object. Ground-to-air … assignment of ground-to-air confrontation is a …

… ground-based 5G system cannot provide seamless service especially for hotspot and remote
area. In order to deal with the mentioned issues, we first propose an air ground … a deep actor…

… Abstract—Space-air-ground integrated network (SAGIN) is an emerging architecture for …
In this paper, we propose a deep reinforcement learning based intelligent adaptive transmission …

… management architecture was proposed in space–air–ground integrated networking (SAGIN).
In … and resource allocation strategy based on deep reinforcement learning (DRL). Differing …