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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![](/image/person.jpg)
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![](/image/person.jpg)
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) |