… in the direction of unmanned technologies, since UAVs have … sensing, cognitive computing,
machine learning, and swarm … (蜂群) UAVs that focused on options for network architecture, …

… As long as we stick to the direction put forward by the BRI … problems become more
complicated and global issues including sustainable development,climate change,terrorism,network …

… -making, deep reinforcement learning, and multi-agent system … the cross research direction
of the combination of reinforcement … Situation assessment for unmanned aerial vehicles air …

… out and the future research directions of this technology are … MEC network 1) 用户层:包含
卫星,UAV,地面用户和海洋用 … aerial serving networks via HAP: a deep reinforcement learning …

… and space-ground network integration. Then, the reinforcement learning (RL) framework
was … Finally, some open research directions were presented. Key words: space-air-ground …

… direction to face with the above requirements. DRL is a … A suitable deep neural network (DNN)
can simulate any linear … of combining deep reinforcement learning and UAV swarm control…

… In addition, the future research direction of … Deep reinforcement learning based resource
allocation and trajectory planning in integrated sensing and communications UAV network[J]. …

… directions of technology term recognition studies based on … and differences of machine
learning in technology term … procedures, the existing problems, and downstream applications. …

… Utilizing deep reinforcement learning to adjust a robot’s … models will be key research
directions. These advancements … , and drone navigation, addressing key challenges like obstacle …

… Deep reinforcement learning can ensure the UAV fog access … of UAV enabled fog access
network. The innovation of the … the technical challenges and future research directions of the …