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A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12
作者:  Qin, Shijie;  Li, Houcheng;  Cheng, Long
收藏  |  浏览/下载：24/0  |  提交时间：2024/03/27
Adaptive dynamic programming (ADP)  brain-inspired method  muscle synergy  musculoskeletal system  reinforcement learning (RL)  tracking control  
New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 11
作者:  Zheng, Xiaolong;  Li, Jingyu;  Lu, Mengyao;  Wang, Fei-Yue
收藏  |  浏览/下载：25/0  |  提交时间：2024/02/22
Economics  Biological system modeling  Data models  Task analysis  Behavioral sciences  Big Data  Analytical models  finance  generative artificial intelligence (GAI)  reinforcement learning from human feedback (RLHF)  research paradigm  
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo;  Giancarlo Fortino
Adobe PDF(7491Kb)  |  收藏  |  浏览/下载：182/125  |  提交时间：2024/01/02
Distributed model predictive control  distributed reinforcement learning  routing decisions  urban road networks  
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：20/6  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607
作者:  Jianguo Zhao;  Chunyu Yang;  Weinan Gao;  Linna Zhou;  Xiaomin Liu
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：28/12  |  提交时间：2024/02/19
Adaptive optimal control  decentralized control  output regulation  reinforcement learning (RL)  singularly perturbed systems (SPSs)  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：26/8  |  提交时间：2024/04/03
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
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：37/13  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：46/12  |  提交时间：2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
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：230/179  |  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-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:  Peng, Shaoming;  Xiong, Gang;  Yang, Jing;  Shen, Zhen;  Tamir, Tariku Sinshaw;  Tao, Zhikun;  Han, Yunjun;  Wang, Fei-Yue
收藏  |  浏览/下载：37/0  |  提交时间：2024/03/13
production planning and scheduling  multi-agent reinforcement learning  flexible job shop  path flexibility  technological flexibility