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FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing Journal article
IEEE Transactions on Vehicular Technology, 2021
Authors:  Huang, Xumin;  Li, Peichun;  Yu, Rong;  Wu, Yuan;  Xie, Kan;  Xie, Shengli
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/09/10
Collaborative Work  Computational Modeling  Data Models  Estimation  Federated Learning  Games  Parked Vehicle Assisted Edge  Space Vehicles  Training Data  
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]:0 TC[Scopus]:1 | Submit date:2021/05/31
Adaptive Traffic Signal Control  Deep Learning  Knowledge Sharing  Multi-agent Reinforcement Learning  Transportation Network  
Multi-agent Reinforcement Learning for Green Energy Powered IoT Networks with Random Access Conference paper
IEEE Vehicular Technology Conference
Authors:  Han,Mengqi;  Del Castillo,Luis Arocas;  Khairy,Sami;  Chen,Xuehan;  Cai,Lin X.;  Lin,Bin;  Hou,Fen
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
adaptive random access  and energy harvesting  IoT network  multi-agent reinforcement learning  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm Journal article
IEEE Transactions on Fuzzy Systems, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen G.;  Chen C.L.P.;  Feng J.;  Zhou N.
Favorite |  | TC[WOS]:33 TC[Scopus]:36 | Submit date:2019/02/11
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite |  | TC[WOS]:33 TC[Scopus]:36 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
View | Adobe PDF | Favorite |  | TC[WOS]:356 TC[Scopus]:390 | Submit date:2018/10/30
Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay