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Deep Reinforcement Learning-Based Optimization for IRS-Assisted Cognitive Radio Systems Journal article
IEEE Transactions on Communications, 2022
Authors:  Zhong, Canwei;  Cui, Miao;  Zhang, Guangchi;  Wu, Qingqing;  Guan, Xinrong;  Chu, Xiaoli;  Vincent Poor, H.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
Array Signal Processing  Cognitive Radio  Deep Reinforcement Learning  Intelligent Reflecting Surface  Interference  Miso Communication  Optimization  Quality Of Service  Reflect Beamforming  Signal To Noise Ratio  Simulation  Transmit Power Control  
Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management Journal article
Journal of Modern Power Systems and Clean Energy, 2022,Volume: 10,Issue: 3,Page: 743-754
Authors:  Huang, Chao;  Zhang, Hongcai;  Wang, Long;  Luo, Xiong;  Song, Yonghua
Adobe PDF | Favorite |  | TC[WOS]:3 TC[Scopus]:2 | Submit date:2022/06/19
Demand Response  
Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners Journal article
Micromachines, 2022,Volume: 13,Issue: 3
Authors:  Liang, Shiyun;  Xi, Ruidong;  Xiao, Xiao;  Yang, Zhixin
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2022/05/13
Deep Deterministic Policy Gradient  Disturbance Observer  Micropositioners  Reinforcement Learning  
Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners Journal article
Micromachines, 2022,Page: 1-10
Authors:  Liang, S.;  Xi, R.;  Xiao, X.;  Yang, Z. X.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/08/31
micropositioners  reinforcement learning  disturbance observer  deep deterministic policy gradient  
Deep Reinforcement Learning based Incentive Mechanism Design for Platoon Autonomous Driving with Social Effect Journal article
IEEE Transactions on Vehicular Technology, 2022
Authors:  Li, Bo;  Xie, Kan;  Huang, Xumin;  Wu, Yuan;  Xie, Shengli
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
Automation  Autonomous vehicles  Costs  Data collection  DRL  Games  platoon autonomous driving  Sensors  social effect  Task analysis  
Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach Journal article
IEEE Transactions on Green Communications and Networking, 2022
Authors:  Zhou, Huan;  Zhang, Zhenyu;  Wu, Yuan;  Dong, Mianxiong;  Leung, Victor C.M.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/08/05
Collaboration  Computation Offloading  Deep Deterministic Policy Gradient  Delays  Energy consumption  Mobile Edge Computing  Optimization  Resource management  Servers  Service Caching  Task analysis  
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network Conference paper
Milan, Jan 10-15, 2021
Authors:  Yuhang Zhang;  Hongshuai Ren;  Jiexia Ye;  Xitong Gao;  Yang Wang;  Kejiang Ye;  Cheng-Zhong Xu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/09/18
Graph Convolutional Network  Adjacency Matrix  End-to-end  Node Information Entropy  
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Journal article
Transportation Research Part C: Emerging Technologies, 2021,Volume: 125
Authors:  Li,Zhenning;  Yu,Hao;  Zhang,Guohui;  Dong,Shangjia;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:11 TC[Scopus]:14 | Submit date:2021/05/31
Adaptive Traffic Signal Control  Deep Learning  Knowledge Sharing  Multi-agent Reinforcement Learning  Transportation Network  
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, Washington, 01-03 November 2021
Authors:  Huang, Chao;  Wang, Long;  Luo, Xiong;  Zhang, Hongcai;  Song, Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Deep Reinforcement Learning  Evolutionary Computing  Integrated Energy System  Multi-objective Optimization  
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things Journal article
IEEE Transactions on Industrial Informatics, 2020,Volume: 17,Issue: 7,Page: 4925-4934
Authors:  Chen, Ying;  Liu, Zhiyong;  Zhang, Yongchao;  Wu, Yuan;  Chen, Xin;  Zhao, Lian
Favorite |  | TC[WOS]:41 TC[Scopus]:40 | Submit date:2021/09/10
Deep Reinforcement Learning (Drl)  Dynamic Resource Management  Industrial Internet Of Things (Iiot)  Mobile Edge Computing (Mec)