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60 results found in all.
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16Cooperative channel assignment for VANETs based on multiagent reinforcement learning
Author(s):Yun-peng Wang, Kun-xian Zheng, Da-xin Tian, Xu-ting Duan, Jian-shan Zhou  Clicked:7144  Download:8400  Cited:0  <Full Text>  <PPT> 1888
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1047-1058  DOI:10.1631/FITEE.1900308
17MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning
Author(s):Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie  Clicked:7285  Download:11719  Cited:0  <Full Text>  <PPT> 1828
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1034-1046  DOI:10.1631/FITEE.1900121
18A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc networks
Author(s):Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang  Clicked:7551  Download:4558  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.9 P.1308-1320  DOI:10.1631/FITEE.1900401
19Erratum to: MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning
Author(s):Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie  Clicked:5464  Download:2806  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.9 P.1412-1412  DOI:10.1631/FITEE.19e0121
20Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems
Author(s):Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu  Clicked:9416  Download:12220  Cited:0  <Full Text>  <PPT> 2001
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.2 P.155-169  DOI:10.1631/FITEE.1900610
21Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving
Author(s):Yunpeng Wang, Kunxian Zheng, Daxin Tian, Xuting Duan, Jianshan Zhou  Clicked:7868  Download:7071  Cited:0  <Full Text>  <PPT> 1608
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.5 P.673-686  DOI:10.1631/FITEE.1900637
22Minimax Q-learning design for H control of linear discrete-time systems
Author(s):Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG  Clicked:9949  Download:8510  Cited:0  <Full Text>  <PPT> 719
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.438-451  DOI:10.1631/FITEE.2000446
23Decentralized multi-agent reinforcement learning with networked agents: recent advances
Author(s):Kaiqing Zhang, Zhuoran Yang, Tamer Ba?ar  Clicked:7176  Download:11481  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.6 P.802-814  DOI:10.1631/FITEE.1900661
24Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless networks
Author(s):Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG  Clicked:6061  Download:10635  Cited:0  <Full Text>  <PPT> 1370
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.1 P.47-60  DOI:10.1631/FITEE.2100331
25Towards autonomous and optimal excavation of shield machine: a deep reinforcement learning-based approach
Author(s):Ya-kun ZHANG, Guo-fang GONG, Hua-yong YANG, Yu-xi CHEN, Geng-lin CHEN  Clicked:4021  Download:2359  Cited:0  <Full Text>  <PPT> 688
Journal of Zhejiang University Science A  2022 Vol.23 No.6 P.458-478  DOI:10.1631/jzus.A2100325
26Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments
Author(s):Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG  Clicked:3489  Download:9477  Cited:0  <Full Text>  <PPT> 686
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.1 P.117-130  DOI:10.1631/FITEE.2200073
27Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game
Author(s):Hongyang LI, Qinglai WEI  Clicked:3653  Download:11668  Cited:0  <Full Text>  <PPT> 583
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.7 P.1010-1019  DOI:10.1631/FITEE.2200010
28Existence and practice of gaming: thoughts on the development of multi-agent system gaming
Author(s):Qi DONG, Zhenyu WU, Jun LU, Fengsong SUN, Jinyu WANG, Yanyu YANG, Xiaozhou SHANG  Clicked:3471  Download:4510  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.7 P.995-1001  DOI:10.1631/FITEE.2100593
29Institutionalized and systematized gaming for multi-agent systems
Author(s):Jun LU, Fei-Yue WANG, Qi DONG, Qinglai WEI  Clicked:3495  Download:3317  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.7 P.991-994  DOI:10.1631/FITEE.2240000
30Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents
Author(s):Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI  Clicked:3416  Download:9999  Cited:0  <Full Text>  <PPT> 678
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.7 P.1032-1042  DOI:10.1631/FITEE.2100594
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