| index | Title |
| 16 | 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:8751 Download:14786 Cited:0 <Full Text> <PPT> 2715 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.7 P.1034-1046 DOI:10.1631/FITEE.1900121 |
| 17 | A 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:9062 Download:6572 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.9 P.1308-1320 DOI:10.1631/FITEE.1900401 |
| 18 | Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems Author(s):Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu Clicked:11909 Download:15357 Cited:0 <Full Text> <PPT> 2578 Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.2 P.155-169 DOI:10.1631/FITEE.1900610 |
| 19 | Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving Author(s):Yunpeng Wang, Kunxian Zheng, Daxin Tian, Xuting Duan, Jianshan Zhou Clicked:9572 Download:10134 Cited:0 <Full Text> <PPT> 2210 Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.5 P.673-686 DOI:10.1631/FITEE.1900637 |
| 20 | Minimax Q-learning design for H∞ control of linear discrete-time systems Author(s):Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG Clicked:11416 Download:11484 Cited:0 <Full Text> <PPT> 1243 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.3 P.438-451 DOI:10.1631/FITEE.2000446 |
| 21 | Decentralized multi-agent reinforcement learning with networked agents: recent advances Author(s):Kaiqing Zhang, Zhuoran Yang, Tamer Başar Clicked:8836 Download:15633 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.6 P.802-814 DOI:10.1631/FITEE.1900661 |
| 22 | Multi-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:7884 Download:14169 Cited:0 <Full Text> <PPT> 2351 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.1 P.47-60 DOI:10.1631/FITEE.2100331 |
| 23 | Towards 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:7688 Download:4970 Cited:0 <Full Text> <PPT> 1690 Journal of Zhejiang University Science A 2022 Vol.23 No.6 P.458-478 DOI:10.1631/jzus.A2100325 |
| 24 | Soft-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:5137 Download:12163 Cited:0 <Full Text> <PPT> 1242 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.117-130 DOI:10.1631/FITEE.2200073 |
| 25 | Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Author(s):Hongyang LI, Qinglai WEI Clicked:5020 Download:16155 Cited:0 <Full Text> <PPT> 1009 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1010-1019 DOI:10.1631/FITEE.2200010 |
| 26 | Existence 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:4615 Download:6287 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.995-1001 DOI:10.1631/FITEE.2100593 |
| 27 | Institutionalized and systematized gaming for multi-agent systems Author(s):Jun LU, Fei-Yue WANG, Qi DONG, Qinglai WEI Clicked:5329 Download:5862 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.991-994 DOI:10.1631/FITEE.2240000 |
| 28 | Coach-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:4820 Download:13994 Cited:0 <Full Text> <PPT> 1239 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1032-1042 DOI:10.1631/FITEE.2100594 |
| 29 | Multi-agent differential game based cooperative synchronization control using a data-driven method Author(s):Yu SHI, Yongzhao HUA, Jianglong YU, Xiwang DONG, Zhang REN Clicked:4996 Download:14183 Cited:0 <Full Text> <PPT> 1172 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1043-1056 DOI:10.1631/FITEE.2200001 |
| 30 | A deep Q-learning network based active object detection model with a novel training algorithm for service robots Author(s):Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO Clicked:4819 Download:11135 Cited:0 <Full Text> <PPT> 1198 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.11 P.1673-1683 DOI:10.1631/FITEE.2200109 |
