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Peer Incentive Reinforcement Learning for Cooperative Multi-Agent Games 期刊论文
IEEE Transactions on Games, 2022, 页码: 1-14
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Pu ZQ(蒲志强);  Yi JQ(易建强)
Adobe PDF(18835Kb)  |  收藏  |  浏览/下载：136/34  |  提交时间：2023/06/12
Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文
ROBOTICA, 2022, 页码: 12
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Gui, Mei-Jiang;  Xiang, Tian-Yu;  Wang, Jin-Li;  Hou, Zeng-Guang
Adobe PDF(715Kb)  |  收藏  |  浏览/下载：281/7  |  提交时间：2023/01/09
surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network  
Development and Control of Underwater Gliding Robots: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1543-1560
作者:  Wang, Jian;  Wu, Zhengxing;  Dong, Huijie;  Tan, Min;  Yu Junzhi
Adobe PDF(183Kb)  |  收藏  |  浏览/下载：350/169  |  提交时间：2022/08/19
Buoyancy driven  motion control  oceanic applications  system development  underwater gliding robots  
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication 期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:  Pu, Zhiqiang;  Ai, Xiaolin;  Yi, Jianqiang
Adobe PDF(1775Kb)  |  收藏  |  浏览/下载：317/41  |  提交时间：2022/07/25
Multi-agent systems  Integrated game and control  Velocity constraint  Input saturation  Event-triggered communication  
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 12, 页码: 7737-7747
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang
Adobe PDF(2528Kb)  |  收藏  |  浏览/下载：250/17  |  提交时间：2022/06/10
Robots  Trajectory  Task analysis  Training  Oscillators  Rehabilitation robotics  Real-time systems  Assist as needed (AAN)  motor learning  nonlinear adaptive control  rehabilitation robotics  
Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 卷号: 44, 期号: 12, 页码: 2443–2453
作者:  Ai, Xiaolin
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：210/36  |  提交时间：2022/06/10
Fixed-time consensus  multi-agent systems  disturbance rejection  input saturation  
Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Dai, Shijie;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4440Kb)  |  收藏  |  浏览/下载：406/50  |  提交时间：2022/06/10
Robots  Robot kinematics  Adaptive systems  Navigation  Solid modeling  Force  Complex systems  3-D path-following  adaptive line-of-sight (LOS)  guidance and control  robotic fish  time-varying sideslip angle  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：372/57  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Deep reinforcement learning based multi-target coverage with connectivity guaranteed 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 期号: 2022, 页码: 1-12
作者:  Shiguang Wu;  Zhiqiang Pu;  Tenghai Qiu;  Jianqiang Yi;  Tianle Zhang
Adobe PDF(15731Kb)  |  收藏  |  浏览/下载：294/36  |  提交时间：2022/04/02
Multi-target coverage  multi-robot system  connectivity maintenance  deep reinforcement learning  
Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:  Zhiqiang Pu;  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：257/51  |  提交时间：2022/04/02
Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems