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Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 1, 页码: 121-132
作者:  Wu, Shiguang;  Pu, Zhiqiang;  Qiu, Tenghai;  Yi, Jianqiang;  Zhang, Tianle
收藏  |  浏览/下载：88/0  |  提交时间：2023/03/20
Robots  Optimization  Maintenance engineering  Task analysis  Informatics  Topology  Reinforcement learning  Connectivity maintenance  deep reinforcement learning (DRL)  multirobot system  multitarget coverage  
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1-15
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Yi JQ(易建强);  Wu SG(吴士广);  Pu ZQ(蒲志强);  Zhao YJ(赵彦杰)
Adobe PDF(2718Kb)  |  收藏  |  浏览/下载：208/80  |  提交时间：2023/06/02
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：265/38  |  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  
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：191/37  |  提交时间：2022/04/02
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：231/32  |  提交时间：2022/04/02
Multi-target coverage  multi-robot system  connectivity maintenance  deep reinforcement learning  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：207/72  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower