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Trajectory Planning of UAV in Wireless Powered IoT System Based on Deep Reinforcement Learning

机译：基于深度加强学习的无线动力IOT系统中无人机轨迹规划

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Jidong Zhang; Yu Yu; Zhigang Wang; Shaopeng Ao; Jie Tang; Xiuyin Zhang; Kai-Kit Wong;
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1. Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing [J] . Wang Liang, Wang Kezhi, Pan Cunhua, IEEE Transactions on Cognitive Communications and Networking . 2021,第1期

机译：基于多功能的深度加强学习基于学习的多UAV辅助移动边缘计算的轨迹规划
2. Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning [J] . Zhang Wenqi, Wang Qiang, Liu Xiao, IEEE Transactions on Vehicular Technology . 2021,第1期

机译：具有深层加固学习的多UV无线网络三维轨迹设计
3. Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork [J] . Chang WANG, Lizhen WU, Chao YAN, 中国航空学报（英文版） . 2020,第011期

机译：基于可解释的基于代理的任务计划和深度强化学习的协同设计，用于人类无人机协作
4. Trajectory Planning of UAV in Wireless Powered IoT System Based on Deep Reinforcement Learning [C] . Jidong Zhang, Yu Yu, Zhigang Wang, IEEE/CIC International Conference on Communications in China . 2020

机译：基于深度强化学习的无线物联网系统中无人机的航迹规划
5. A Comparative Study of Novel Deep Learning-Based and Conventional Atlas-Based Automatic Segmentation in Head and Neck Radiotherapy Planning [D] . Asbach, John. 2020

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6. Intelligent Land-Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning [O] . Lingli Yu, Xuanya Shao, Yadong Wei, 2018

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7. Multi-Agent Deep Reinforcement Learning for Trajectory Design and Power Allocation in Multi-UAV Networks [O] . Nan Zhao, Zehua Liu, Yiqiang Cheng 2020

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Trajectory Planning of UAV in Wireless Powered IoT System Based on Deep Reinforcement Learning

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