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Security Enhancement for RIS-Aided MEC Systems with Deep Reinforcement Learning Journal article
Fang, Kai, Ouyang, Yuxuan, Zheng, Beixiong, Huang, Lei, Wang, Gang, Chen, Zhen. Security Enhancement for RIS-Aided MEC Systems with Deep Reinforcement Learning[J]. IEEE Transactions on Communications, 2024.
Authors:  Fang, Kai;  Ouyang, Yuxuan;  Zheng, Beixiong;  Huang, Lei;  Wang, Gang; et al.
Favorite | TC[Scopus]:0  IF:7.2/6.3 | Submit date：2024/11/05
Mobile Edge Computing (Mec)  Reconfigurable Intelligent Surface (Ris)  Non-orthogonal Multiple Access (Noma)  Twin Delayed Deep Deterministic Policy Gradient  
Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter Conference paper
Gong, Cheng, Leong, Chio Hong, Lam, Chi Seng. Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Gong, Cheng;  Leong, Chio Hong;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Deterministic Policy Gradient  Hybrid Active Power Filter  Power Quality  Reinforcement Learning  
Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making Journal article
Wang, Zhen, Jin, Xiaoyue, Zhang, Tao, Li, Jiahao, Yu, Dengxiu, Cheong, Kang Hao, Chen, C. L.Philip. Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making[J]. IEEE Transactions on Cybernetics, 2024, 54(3), 1614-1624.
Authors:  Wang, Zhen;  Jin, Xiaoyue;  Zhang, Tao;  Li, Jiahao;  Yu, Dengxiu; et al.
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:9.4/10.3 | Submit date：2024/04/02
Model Prediction Control  Multiagent Deep Deterministic Policy Gradient (Maddpg)  Swarm Robot Decision Making  
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning Journal article
Yu Jiadong, Li Yang, Liu Xiaolan, Sun Bo, Wu Yuan, Tsang Danny H.K.. IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning[J]. IEEE Transactions on Wireless Communications, 2022, 22(7), 4296 - 4312.
Authors:  Yu Jiadong;  Li Yang;  Liu Xiaolan;  Sun Bo;  Wu Yuan; et al.
Favorite | TC[WOS]:22 TC[Scopus]:31  IF:8.9/8.6 | Submit date：2023/01/30
Deep Deterministic Policy Gradient  Irs  Mobile Edge Computing  Noma  Reinforcement Learning  
Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach Journal article
Huan Zhou, Zhenyu Zhang, Yuan Wu, Mianxiong Dong, Victor C. M. Leung. Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach[J]. IEEE Transactions on Green Communications and Networking, 2022, 7(2), 950-961.
Authors:  Huan Zhou;  Zhenyu Zhang;  Yuan Wu;  Mianxiong Dong;  Victor C. M. Leung
Favorite | TC[WOS]:24 TC[Scopus]:36  IF:5.3/4.5 | Submit date：2022/08/19
Computation Offloading  Service Caching  Mobile Edge Computing  Deep Deterministic Policy Gradient  
Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach Journal article
Zhou Huan, Zhang Zhenyu, Wu Yuan, Dong Mianxiong, Leung Victor C. M.. Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach[J]. IEEE Transactions on Green Communications and Networking, 2022, 7(2), 950-961.
Authors:  Zhou Huan;  Zhang Zhenyu;  Wu Yuan;  Dong Mianxiong;  Leung Victor C. M.
Favorite | TC[WOS]:24 TC[Scopus]:36  IF:5.3/4.5 | Submit date：2022/08/05
Service Caching  Computation Offloading  Deep Deterministic Policy Gradient  Mobile Edge Computing  
Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners Journal article
Liang, S., Xi, R., Xiao, X., Yang, Z. X.. Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners[J]. Micromachines, 2022, 1-10.
Authors:  Liang, S.;  Xi, R.;  Xiao, X.;  Yang, Z. X.
Favorite |   IF:3.0/3.0 | Submit date：2022/08/31
micropositioners  reinforcement learning  disturbance observer  deep deterministic policy gradient  
Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners Journal article
Liang, Shiyun, Xi, Ruidong, Xiao, Xiao, Yang, Zhixin. Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners[J]. Micromachines, 2022, 13(3), 458.
Authors:  Liang, Shiyun;  Xi, Ruidong;  Xiao, Xiao;  Yang, Zhixin
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:3.0/3.0 | Submit date：2022/05/13
Deep Deterministic Policy Gradient  Disturbance Observer  Micropositioners  Reinforcement Learning  
An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning Journal article
Zhang, Liqing, U, Leong Hou, Zhou, Mingliang, Li, Zhenning. An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning[J]. IEEE Transactions on Industrial Informatics, 2021, 18(10), 6973-6980.
Authors:  Zhang, Liqing;  U, Leong Hou;  Zhou, Mingliang;  Li, Zhenning
Favorite | TC[WOS]:15 TC[Scopus]:19  IF:11.7/11.4 | Submit date：2022/05/13
Deep Deterministic Policy Gradient (Ddpg)  Deep Reinforcement-based Train Operation (Drto)  Event Driven