| index | Title |
| 16 | MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning Author(s):Zhao-qi Wu, Jin Wei, Fan Zhang, We... Clicked:8837 Download:14917 Cited:0 <Full Text> <PPT> 2781 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... Clicked:9145 Download:6701 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.9 P.1308-1320 DOI:10.1631/FITEE.1900401 |
| 18 | Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving Author(s):Yunpeng Wang, Kunxian Zheng, Daxin... Clicked:9663 Download:10263 Cited:0 <Full Text> <PPT> 2248 Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.5 P.673-686 DOI:10.1631/FITEE.1900637 |
| 19 | Minimax Q-learning design for H∞ control of linear discrete-time systems Author(s):Xinxing LI, Lele XI, Wenzhong ZHA,... Clicked:11548 Download:11625 Cited:0 <Full Text> <PPT> 1269 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.3 P.438-451 DOI:10.1631/FITEE.2000446 |
| 20 | Decentralized multi-agent reinforcement learning with networked agents: recent advances Author(s):Kaiqing Zhang, Zhuoran Yang, Tamer... Clicked:8923 Download:15769 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.6 P.802-814 DOI:10.1631/FITEE.1900661 |
| 21 | Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wirel... Author(s):Xiaoyu LIU, Chi XU, Haibin YU, Pen... Clicked:7965 Download:14323 Cited:0 <Full Text> <PPT> 2404 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.1 P.47-60 DOI:10.1631/FITEE.2100331 |
| 22 | Towards autonomous and optimal excavation of shield machine: a deep reinforcement learning-based approach Author(s):Ya-kun ZHANG, Guo-fang GONG, Hua-y... Clicked:8081 Download:5134 Cited:0 <Full Text> <PPT> 1775 Journal of Zhejiang University Science A 2022 Vol.23 No.6 P.458-478 DOI:10.1631/jzus.A2100325 |
| 23 | Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments Author(s):Yixiang REN, Zhenhui YE, Yining CH... Clicked:5244 Download:12303 Cited:0 <Full Text> <PPT> 1285 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.117-130 DOI:10.1631/FITEE.2200073 |
| 24 | Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Author(s):Hongyang LI, Qinglai WEI Clicked:5139 Download:16258 Cited:0 <Full Text> <PPT> 1052 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1010-1019 DOI:10.1631/FITEE.2200010 |
| 25 | Existence and practice of gaming: thoughts on the development of multi-agent system gaming Author(s):Qi DONG, Zhenyu WU, Jun LU, Fengso... Clicked:4703 Download:6394 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.995-1001 DOI:10.1631/FITEE.2100593 |
| 26 | Institutionalized and systematized gaming for multi-agent systems Author(s):Jun LU, Fei-Yue WANG, Qi DONG, Qin... Clicked:5391 Download:5993 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.991-994 DOI:10.1631/FITEE.2240000 |
| 27 | Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents Author(s):Jian ZHAO, Youpeng ZHAO, Weixun WA... Clicked:4906 Download:14135 Cited:0 <Full Text> <PPT> 1304 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1032-1042 DOI:10.1631/FITEE.2100594 |
| 28 | Multi-agent differential game based cooperative synchronization control using a data-driven method Author(s):Yu SHI, Yongzhao HUA, Jianglong YU... Clicked:5077 Download:14339 Cited:0 <Full Text> <PPT> 1226 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.7 P.1043-1056 DOI:10.1631/FITEE.2200001 |
| 29 | A deep Q-learning network based active object detection model with a novel training algorithm for service r... Author(s):Shaopeng LIU, Guohui TIAN, Yongche... Clicked:4903 Download:11279 Cited:0 <Full Text> <PPT> 1237 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.11 P.1673-1683 DOI:10.1631/FITEE.2200109 |
| 30 | Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning Author(s):Huiqian LI, Jin HUANG, Zhong CAO, ... Clicked:4657 Download:7943 Cited:0 <Full Text> <PPT> 1385 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.131-140 DOI:10.1631/FITEE.2200128 |