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Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247
作者:  Hongyu Ding;  Yuanze Tang;  Qing Wu;  Bo Wang;  Chunlin Chen;  Zhi Wang
Adobe PDF(5205Kb)  |  收藏  |  浏览/下载：108/36  |  提交时间：2023/10/31
Dynamic environments  goal-conditioned reinforcement learning  magnetic field  reward shaping  
Coupled Dynamics and Integrated Control for Position and Attitude Motions of Spacecraft: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2187-2208
作者:  Feng Zhang;  Guangren Duan
Adobe PDF(1737Kb)  |  收藏  |  浏览/下载：143/45  |  提交时间：2023/10/31
Coupled position and attitude dynamic modeling  integrated position and attitude control  position and attitude coupling analysis  spacecraft  space missions  
Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135
作者:  Xiaoli Wang;  Luming Liu;  Lian Duan;  Qian Liao
Adobe PDF(5258Kb)  |  收藏  |  浏览/下载：89/35  |  提交时间：2023/09/22
Decision-making technique  grinding process  multi-objective optimization  response surface method (RSM)  
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:  Xinhua Wang;  Shasha Zhao;  Lei Guo;  Lei Zhu;  Chaoran Cui;  Liancheng Xu
Adobe PDF(1627Kb)  |  收藏  |  浏览/下载：103/44  |  提交时间：2023/09/22
Contrastive learning  counterfactual representation  graph neural network  knowledge tracing  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：245/137  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1984-1999
作者:  Feiye Zhang;  Qingyu Yang;  Dou An
Adobe PDF(3841Kb)  |  收藏  |  浏览/下载：85/43  |  提交时间：2023/09/07
Centralized training and decentralized execution  demand side management  multi-agent reinforcement learning  privacy preserving  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：106/33  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
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：159/64  |  提交时间：2023/09/07
Autonomous vehicles  decision-making  driving behavior  human-like driving  
Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1893-1895
作者:  Wenchao Huang;  Zhijun Pan;  Zhezhuang Xu
Adobe PDF(2235Kb)  |  收藏  |  浏览/下载：100/42  |  提交时间：2023/08/10
AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881
作者:  Yuanqi Qin;  Wen Hua;  Junchen Jin;  Jun Ge;  Xingyuan Dai;  Lingxi Li;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：102/18  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction