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14 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:7293  Download:5022  Cited:0  <Full Text>  <PPT> 1990
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:6491  Download:11548  Cited:0  <Full Text>  <PPT> 1659
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:5854  Download:3121  Cited:0  <Full Text>  <PPT> 1029
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:3904  Download:10039  Cited:0  <Full Text>  <PPT> 879
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:2349  Download:2387  Cited:0  <Full Text>  <PPT> 501
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:2370  Download:2800  Cited:0  <Full Text>  <PPT> 715
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:1762  Download:1461  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:1414  Download:1632  Cited:0  <Full Text>  <PPT> 726
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:1690  Download:2680  Cited:0  <Full Text>  <PPT> 440
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:995  Download:1473  Cited:0  <Full Text>  <PPT> 357
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:939  Download:176  Cited:0  <Full Text>
Journal of Zhejiang University Science A  In Press    DOI:
12Uplink puncturing for mixed URLLC and eMBB services in 5G-based IWNs: a model-aided DRL method
Author(s):Jingfang DING1, Meng ZHENG1, Haibin YU2,3, Yitian WANG2,3,4, Chi XU2,3  Clicked:166  Download:49  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  In Press    DOI:
13DRL-EnVar: an adaptive hybrid ensemble-variational data assimilation method based on deep reinforcement learning
Author(s):Lilan HUANG1,2, Hongze LENG1,2, Junqiang SONG1,2, Dongzi WANG1,Wuxin WANG1, Ruisheng HU2, Hang CAO2  Clicked:127  Download:30  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  In Press    DOI:
14Black-box adversarial attack on deep reinforcement learning-based PID controller for load frequency control
Author(s):Wei WANG1, Zhenyong ZHANG1,2, Xin WANG2, Xuguo JIAO3,4  Clicked:125  Download:35  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  In Press    DOI:
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