index | Title |
1 | Deep 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:4929 Download:3063 Cited:0 <Full Text> <PPT> 1380 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.12 P.1726-1744 DOI:10.1631/FITEE.1900533 |
2 | 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:3971 Download:4349 Cited:0 <Full Text> <PPT> 728 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.1 P.47-60 DOI:10.1631/FITEE.2100331 |
3 | 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:1816 Download:1393 Cited:0 <Full Text> <PPT> 294 Journal of Zhejiang University Science A 2022 Vol.23 No.6 P.458-478 DOI:10.1631/jzus.A2100325 |
4 | 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:1648 Download:1604 Cited:0 <Full Text> <PPT> 234 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.117-130 DOI:10.1631/FITEE.2200073 |
5 | Transformer 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:208 Download:303 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering In Press DOI: |
6 | Multiagent evaluation for energy management by Practically scaling α-rank Author(s):Yiyun SUN, Senlin ZHANG, Meiqin LIU, Ronghao ZHENG,Shanling DONG, Xuguang LAN Clicked:122 Download:87 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering In Press DOI: |