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CASIA OpenIR
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Traffic Signal Control Using Offline Reinforcement Learning 会议论文
, Beijing, 2021-10
作者:  Dai, Xingyuan;  Zhao, Chen;  Li, Xiaoshuang;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：188/54  |  提交时间：2022/10/11
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：373/129  |  提交时间：2021/12/28
Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning  
An IVC-Based Nuclear Emergency Parallel Evacuation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 4, 页码: 844-855
作者:  Tan, Ke;  Yang, Linyao;  Liu, Xin;  Xu, Yancai;  Lin, Jiazhen;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：268/41  |  提交时间：2021/11/02
Computational modeling  Planning  Optimization  Roads  Mathematical model  Collaboration  Power generation  ACP  intelligent vehicle collaborative system  nuclear evacuation  optimization  parallel intelligence  
Federated Ecology: Steps Toward Confederated Intelligence 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 2, 页码: 271-278
作者:  Wang, Fei-Yue;  Qin, Rui;  Chen, Yizhu;  Tian, Yonglin;  Wang, Xiao;  Hu, Bin
Adobe PDF(1056Kb)  |  收藏  |  浏览/下载：247/47  |  提交时间：2021/05/17
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:  Jin, Junchen;  Guo, Haifeng;  Xu, Jia;  Wang, Xiao;  Wang, Fei-Yue
收藏  |  浏览/下载：210/0  |  提交时间：2021/04/27
Control systems  Urban areas  Timing  Adaptive systems  Real-time systems  Recurrent neural networks  Process control  Intelligent traffic control  traffic signal control  parallel learning  recommendation systems  deep neural networks