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17 results found in all.
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1Deep reinforcement learning: a survey
Author(s):Hao-nan Wang, Ning Liu, Yi-yun Zhang, Da-wei Feng, Feng Huang, Dong-sheng Li, Yi-ming Zhang  Clicked:8790  Download:6276  Cited:0  <Full Text>  <PPT> 2336
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1726-1744  DOI:10.1631/FITEE.1900533
2Multi-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:7421  Download:13272  Cited:0  <Full Text>  <PPT> 2157
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.1 P.47-60  DOI:10.1631/FITEE.2100331
3Towards 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:7092  Download:4157  Cited:0  <Full Text>  <PPT> 1387
Journal of Zhejiang University Science A  2022 Vol.23 No.6 P.458-478  DOI:10.1631/jzus.A2100325
4Soft-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:4698  Download:11387  Cited:0  <Full Text>  <PPT> 1123
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.1 P.117-130  DOI:10.1631/FITEE.2200073
5Transformer in reinforcement learning for decision-making: a survey
Author(s):Weilin YUAN, Jiaxing CHEN, Shaofei CHEN, Dawei FENG, Zhenzhen HU, Peng LI, Weiwei ZHAO  Clicked:3167  Download:3737  Cited:0  <Full Text>  <PPT> 853
Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.6 P.763-790  DOI:10.1631/FITEE.2300548
6Multi-agent evaluation for energy management by practically scaling α-rank
Author(s):Yiyun SUN, Senlin ZHANG, Meiqin LIU, Ronghao ZHENG, Shanling DONG, Xuguang LAN  Clicked:3031  Download:4391  Cited:0  <Full Text>  <PPT> 1015
Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.7 P.1003-1016  DOI:10.1631/FITEE.2300438
7Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach
Author(s):Tianjiao CHEN, Xiaoyun WANG, Meihui HUA, Qinqin TANG  Clicked:2765  Download:2847  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.2 P.214-229  DOI:10.1631/FITEE.2400240
8Deep reinforcement learning for near-field wideband beamforming in STAR-RIS networks
Author(s):Ji WANG, Jiayi SUN, Wei FANG, Zhao CHEN, Yue LIU, Yuanwei LIU  Clicked:2253  Download:3014  Cited:0  <Full Text>  <PPT> 1015
Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.12 P.1651-1663  DOI:10.1631/FITEE.2400364
9Federated deep reinforcement learning based computation offloading in a low Earth orbit satellite edge computing system
Author(s):Min JIA, Jian WU, Xinyu WANG, Qing GUO  Clicked:2575  Download:4297  Cited:0  <Full Text>  <PPT> 748
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.5 P.805-815  DOI:10.1631/FITEE.2400448
10Significance extraction based on data augmentation for reinforcement learning
Author(s):Yuxi HAN, Dequan LI, Yang YANG  Clicked:1800  Download:3042  Cited:0  <Full Text>  <PPT> 794
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.3 P.385-399  DOI:10.1631/FITEE.2400406
11Stable and continuous vertical jumping control of hydraulic legged robots through reinforcement learning
Author(s):Junhui ZHANG, Pengyuan JI, Lizhou FANG, Jinyuan LIU, Dandan WANG, Jikun AI, Huaizhi ZONG, Bing XU  Clicked:1817  Download:1863  Cited:0  <Full Text>  <PPT> 381
Journal of Zhejiang University Science A  2025 Vol.26 No.12 P.1163-1178  DOI:10.1631/jzus.A2500142
12Efficient sensorimotor cues for training a glider to soar autonomously
Author(s):Siyuan ZHENG, Jiachi ZHAO, Lifang ZENG, Zhouhong WANG, Jun LI  Clicked:1335  Download:1879  Cited:0  <Full Text>  <PPT> 70
Journal of Zhejiang University Science A  2026 Vol.27 No.2 P.128-141  DOI:10.1631/jzus.A2400567
13Uplink puncturing for mixed URLLC and eMBB services in 5G-based IWNs: a model-aided DRL method
Author(s):Jingfang DING, Meng ZHENG, Haibin YU, Yitian WANG, Chi XU  Clicked:1625  Download:696  Cited:0  <Full Text>  <PPT> 348
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.11 P.2338-2352  DOI:10.1631/FITEE.2500173
14DRL-EnVar: an adaptive hybrid ensemble–variational data assimilation method based on deep reinforcement learning
Author(s):Lilan HUANG, Hongze LENG, Junqiang SONG, Dongzi WANG, Wuxin WANG, Ruisheng HU, Hang CAO  Clicked:1528  Download:701  Cited:0  <Full Text>  <PPT> 272
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.12 P.2583-2603  DOI:10.1631/FITEE.2401063
15Black-box adversarial attacks on deep reinforcement learning-based proportional–integral–derivative controllers for load frequency control
Author(s):Wei WANG, Zhenyong ZHANG, Xin WANG, Xuguo JIAO  Clicked:1369  Download:729  Cited:0  <Full Text>  <PPT> 226
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.11 P.2128-2142  DOI:10.1631/FITEE.2401021
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