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Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：243/62  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 584-602
作者:  Boqian Li;  Shiping Wen;  Zheng Yan;  Guanghui Wen;  Tingwen Huang
Adobe PDF(2663Kb)  |  收藏  |  浏览/下载：422/308  |  提交时间：2023/03/02
Control barrier function (CBF)  control Lyapunov function (CLF)  nonlinear-affine control systems  
Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1905-1917
作者:  Tangyike Zhang;  Junxiang Zhan;  Jiamin Shi;  Jingmin Xin;  Nanning Zheng
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：133/60  |  提交时间：2023/09/07
Autonomous vehicles  decision-making  driving behavior  human-like driving  
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 614-639
作者:  Bolin Gao;  Keke Wan;  Qien Chen;  Zhou Wang;  Rui Li;  Yu Jiang;  Run Mei;  Yinghui Luo;  Keqiang Li
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Predictive cruise control (PCC), cloud control system (CCS), cooperative control, efficient operation, intelligent connected vehicle  
Dynamic-horizon model-based value estimation with latent imagination 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14
作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌)
Adobe PDF(2305Kb)  |  收藏  |  浏览/下载：141/55  |  提交时间：2023/05/30
Latent world model  model-based value expansion (MVE)  reinforcement learning  reinforcement learning  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：211/24  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：358/62  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：353/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Cooperative and Competitive Multi-Agent Systems: From Optimization to Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 763-783
作者:  Jianrui Wang;  Yitian Hong;  Jiali Wang;  Jiapeng Xu;  Yang Tang;  Qing-Long Han;  Jürgen Kurths
Adobe PDF(8407Kb)  |  收藏  |  浏览/下载：185/52  |  提交时间：2022/04/24
Cooperative games  counterfactual regret min- imization  distributed optimization  federated optimization  fictitious self-play  mean field games  multi-agent reinforcement learning  non-cooperative games