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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：50/19 | 提交时间：2024/06/07
Latent variable model maximum entropy multi-agent reinforcement learning (MARL) multi-agent system |
| Dynamics of the Fractional-Order Lorenz System Based on Adomian Decomposition Method and Its DSP Implementation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1298-1300
作者: Shaobo He; Kehui Sun; Huihai Wang
Adobe PDF(6397Kb) | 收藏 | 浏览/下载：86/28 | 提交时间：2024/04/10 |
| A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501
作者: Nianyin Zeng; Xinyu Li; Peishu Wu; Han Li; Xin Luo
Adobe PDF(12478Kb) | 收藏 | 浏览/下载：102/28 | 提交时间：2024/01/23
Attention mechanism knowledge distillation (KD) object detection tensor decomposition (TD) unmanned aerial vehicles (UAVs) |
| Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者: Yuchuang Tong ; Haotian Liu; Zhengtao Zhang
Adobe PDF(7587Kb) | 收藏 | 浏览/下载：197/59 | 提交时间：2024/01/23
Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| 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：76/28 | 提交时间：2024/01/23
Process control process systems engineering reinforcement learning |
| 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：315/203 | 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) |
| Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2222-2232
作者: Juanjuan Li; Junqing Li; Xiao Wang; Rui Qin; Yong Yuan; Fei-Yue Wang
Adobe PDF(2004Kb) | 收藏 | 浏览/下载：216/88 | 提交时间：2023/10/31
Auction data trading markets multi-blockchain pricing mechanisms |
| Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者: Uichin Lee; Gyuwon Jung; Eun-Yeol Ma; Jin San Kim; Heepyung Kim; Jumabek Alikhanov; Youngtae Noh; Heeyoung Kim
Adobe PDF(2887Kb) | 收藏 | 浏览/下载：554/359 | 提交时间：2023/01/03
Causal inference data-driven analytics framework digital therapeutics (DTx) mobile and wearable data technical and behavioral engagement |
| Parallel Factories for Smart Industrial Operations: From Big AI Models to Field Foundational Models and Scenarios Engineering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2079-2086
作者: Jingwei Lu; Xingxia Wang; Xiang Cheng; Jing Yang; Oliver Kwan; Xiao Wang
Adobe PDF(580Kb) | 收藏 | 浏览/下载：225/74 | 提交时间：2022/12/02
Cyber-physical-social system (CPSS) Industry 5.0 Metaverses Parallel factories Parallel intelligence |
| 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：245/67 | 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 |
