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Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control 期刊论文
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 卷号: 10, 期号: 1, 页码: 13-28
作者:  Zhang, Tianyun;  Zhang, Jun;  Wang, Feiyue;  Xu, Peidong;  Gao, Tianlu;  Zhang, Haoran;  Si, Ruiqi
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/03
AI quantitative intelligence assessment and self-evolution  automated reinforcement learning  Bayesian optimization  corrective control  parallel system  
Enhancing Reinforcement Learning via Transformer-based State Predictive Representations 期刊论文
IEEE Transactions on Artificial Intelligence, 2024, 页码: 1 - 12
作者:  Liu MS(刘民颂);  Zhu YH(朱圆恒);  Chen YR(陈亚冉);  Zhao DB(赵冬斌)
Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：20/5  |  提交时间：2024/06/24
Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 页码: 1-15
作者:  Jing Yang;  Yutong Wang;  Xingxia Wang;  Xiaoxing Wang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：33/8  |  提交时间：2024/06/06
A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS 期刊论文
IEEE Transactions on Industrial Informatics, 2024, 页码: 1-8
作者:  Xingxia Wang;  Yutong Wang;  Jing Yang;  Xiao Wang;  Zonglin Meng;  Zhaohai Liu;  Fei-Yue Wang
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：30/7  |  提交时间：2024/06/06
Oils  Fifth Industrial Revolution  Production  Fourth Industrial Revolution  Biology  Service robots  Transportation  Cyber-physical systems (CPS)  cyber-physical-social systems (CPSS)  Industry 4.0  Industry 5.0  parallel intelligence  parallel oil and gas  
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227
作者:  Zeyu Gao;  Yao Mu;  Chen Chen;  Jingliang Duan;  Ping Luo;  Yanfeng Lu;  Shengbo Eben Li
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：29/10  |  提交时间：2024/06/06
End-to-end autonomous driving  deep reinforcement learning  world model  
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者:  Guangzheng Hu;  Yuanheng Zhu;  Haoran Li;  Dongbin Zhao
Adobe PDF(2144Kb)  |  收藏  |  浏览/下载：26/4  |  提交时间：2024/06/05
Games  Q-learning  Task analysis  Optimization  Convergence  Training  Nash equilibrium  Multi-agent reinforcement learning  minimax-Q learning  two-team zero-sum Markov games  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：42/12  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 2, 页码: 744-756
作者:  Xiaona Wang;  Jiahao Chen;  Wei Wu
Adobe PDF(3444Kb)  |  收藏  |  浏览/下载：27/7  |  提交时间：2024/06/04
Biologically inspired control  motor preparation  motor primitive  musculoskeletal robot  recurrent neural network (RNN)  
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：26/7  |  提交时间：2024/05/28
Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model 期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:  Jiang, Bo;  Zhao, Yiyi;  Dong, Jianglin;  Hu, Jiangping
收藏  |  浏览/下载：72/0  |  提交时间：2024/02/22
Deffuant-Weisbush model  Inclusiveness-degree function  Signed network  Opinion formation  Black swan phenomenon