Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

Xiong Zehui; Zhang Yang; Niyato Dusit; Deng Ruilong; Wang Ping; Wang Li-Chun

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Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

机译：适用于移动5G及更高版本的深度强化学习：基本原理，应用和挑战

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来源
《IEEE Vehicular Technology Magazine》 |2019年第2期|44-52|共9页
作者
Xiong Zehui; Zhang Yang; Niyato Dusit; Deng Ruilong; Wang Ping; Wang Li-Chun;
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作者单位

Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore;

Nanyang Technol Univ, Energy Res Inst, Singapore, Singapore;

Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore;

Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore;

York Univ, Dept Elect Engn & Comp Sci, York, PA USA;

Natl Chiao Tung Univ, Elect & Comp Engn, Dept Comp Sci, Hsinchu, Taiwan|Natl Chiao Tung Univ, Dept Informat Engn, Hsinchu, Taiwan;

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正文语种 eng
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入库时间 2022-08-18 04:27:31

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1. Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges [J] . Xiong Zehui, Zhang Yang, Niyato Dusit, IEEE Vehicular Technology Magazine . 2019,第2期

机译：移动5G及以后的深度加强学习：基础知识，应用和挑战
2. Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning [J] . Xie Ruitao, Jia Xiaohua, Wu Kaishun IEEE Journal on Selected Areas in Communications . 2020,第2期

机译：利用深增强学习，5G移动边缘计算初始拥塞窗口自适应在线决策方法
3. Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning [J] . Ecological restoration . 2020,第2期

机译：利用深增强学习，5G移动边缘计算初始拥塞窗口自适应在线决策方法
4. Deep Learning: Fundamentals, Challenges, and Applications [C] . Noura Al Moubayed International conference on unconventional computation and natural computation . 2019

机译：深度学习：基础知识，挑战和应用
5. Methods and Applications of Deep Reinforcement Learning for Chemical Processes [D] . Hubbs, Christian D. 2021

机译：深增强学习的化学过程的方法和应用
6. Application of deep neural network and deep reinforcement learning in wireless communication [O] . Ming Li, Hui Li 2020

机译：深度神经网络和深增强学习在无线通信中的应用
7. Deep Learning at the Physical Layer: System Challenges and Applications to 5G and Beyond [O] . Francesco Restuccia, Tommaso Melodia 2020

机译：在物理层的深度学习：系统挑战和应用到5G及以后

Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

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