… mapping from the UAV position to the optimal GBS. … UAV movement, a novel deep
reinforcement learning (DRL) approach is developed to learn the optimal trajectory, in which the UAV …

… UAV based on Multi-Agent Deep Reinforcement Learning (MADRL) is proposed. Firstly, a
deep spatio-temporal network … Energyefficient predictive deployment strategy of UAVs based …

… security transmission technology of UAV communication … Secure energy-efficient resource
allocation in mobile edge … for cellular-connected UAV with deep reinforcement learning[J]. …

… vehicle (UAV) in the wireless power communication network (WPCN). The UAV departs from
… Despite deep reinforcement learning (DRL) that can circumvent the curse of dimensionality, …

… Considering an UAV-assisted MEC system with multi-users, a scheme is … of UAV and
computation strategies of the users during the UAV’s whole flight duration. A Deep Reinforcement …

… control in vehicle networks based on UAVassisted mobile edge … A distributed deep
reinforcement learning algorithm based on … Energy efficient task offloading for UAV-assisted …

… UAV communication system based on deep reinforcement … Securing UAV communications
via joint trajectory and power … UAVS with intelligent reflecting surfaces for energy-efficient …

… this paper, where the UAV can use the unlicensed spectrum … at the same time, the UAV can
use the licensed spectrum without … under the energy constraint of the UAV battery. In order to …

: 信息安全是影响物联网(IoT) 应用的关键因素之一, 物理层安全是解决物联网信息通信安全问题
的有效技术. 该文针对物联网中带有主动攻击的全双工窃听者, 利用无人机(UAV) 辅助发射人工…

… problem of UAV's energy consumption … Deep reinforcement learning for fresh data
collection in UAV ⁃ assisted IoT networks∥IEEE Conference on Computer Communications …