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Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge
  Computing

Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing

19 June 2019
Lei Lei
Huijuan Xu
Xiong Xiong
K. Zheng
W. Xiang
Xianbin Wang
ArXivPDFHTML

Papers citing "Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing"

4 / 4 papers shown
Title
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge
  Intelligence
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
21
45
0
27 Jan 2022
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
63
604
0
02 Sep 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
19
202
0
22 Jul 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
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