Deep Reinforcement Learning Based Dynamic Trajectory Control for
UAV-assisted Mobile Edge Computing

Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

10 November 2019

Liang Wang

Papers citing "Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing"

4 / 4 papers shown

Title
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach Yue Chen Hui Kang Jiahui Li Geng Sun Boxiong Wang Jiacheng Wang Cong Liang Shuang Liang Dusit Niyato 49 0 0 06 May 2025
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments Zijian Hu Xiao-guang Gao Kaifang Wan Qianglong Wang Yiwei Zhai 40 10 0 04 Jul 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence Pengjin Wei Kun Guo Ye Li Jue Wang W. Feng Shi Jin Ning Ge Ying-Chang Liang 28 45 0 27 Jan 2022
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 27 16 0 14 Feb 2021