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Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载:32/11  |  提交时间:2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载:55/7  |  提交时间:2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:64/15  |  提交时间:2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:76/33  |  提交时间:2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Communication-Aware Mobile Relaying via an AUV for Minimal Wait Time: A Broad Learning-Based Solution 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 797-799
作者:  Wenqiang Cao;  Jing Yan;  Xian Yang;  Cailian Chen;  Xinping Guan
Adobe PDF(5590Kb)  |  收藏  |  浏览/下载:95/23  |  提交时间:2024/02/19
Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 690-697
作者:  Yun Zhang;  Lulu Zhang;  Yunze Cai
Adobe PDF(6850Kb)  |  收藏  |  浏览/下载:112/40  |  提交时间:2024/02/19
Adaptive dynamic programming  incomplete information  multi-player differential game  value iteration  
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:62/21  |  提交时间:2024/01/23
Process control  process systems engineering  reinforcement learning  
Reinforcement Learning-Based MAS Interception in Antagonistic Environments 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 270-272
作者:  Siqing Sun;  Defu Cai;   Hai-Tao Zhang;  Ning Xing
Adobe PDF(989Kb)  |  收藏  |  浏览/下载:155/78  |  提交时间:2024/01/02
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195
作者:  Xiaolin Tang;  Yuyou Yang;  Teng Liu;  Xianke Lin;  Kai Yang;  Shen Li
Adobe PDF(4905Kb)  |  收藏  |  浏览/下载:231/132  |  提交时间:2024/01/02
Automatic parking  control strategy  parking deviation (APS)  soft actor-critic (SAC)  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:295/197  |  提交时间:2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)