CASIA OpenIR
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A cooperation and decision-making framework in dynamic confrontation for multi-agent systems 期刊论文
Computers and Electrical Engineering, 2024, 卷号: 118, 页码: 118
作者:  Lexing Wang;  Tenghai Qiu;  Zhiqiang Pu;  Jianqiang Yi
Adobe PDF(1302Kb)  |  收藏  |  浏览/下载:55/17  |  提交时间:2024/06/06
Multi-agent system  Target allocation  Decision making  Swarm motion control  
Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning 期刊论文
International Journal of Control, Automation and Systems, 2023, 页码: 1-13
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Pu ZQ(蒲志强);  Yi JQ(易建强);  Liang YY(梁延研);  Zhang D(张渡)
Adobe PDF(6472Kb)  |  收藏  |  浏览/下载:191/41  |  提交时间:2023/06/12
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework 会议论文
, Xi'an China, May 31-Jun. 4
作者:  Shiguang Wu;  Zhiqiang Pu;  Zhen Liu;  Tenghai Qiu;  Jianqiang Yi;  Tianle Zhang
Adobe PDF(12862Kb)  |  收藏  |  浏览/下载:299/50  |  提交时间:2022/04/06
Adaptive flocking of multi-agent system with uncertain nonlinear dynamics and unknown disturbances using neural networks 会议论文
, Online, August 20-21
作者:  Shiguang Wu;  Zhiqiang Pu;  Jianqiang Yi;  Jinlin Su;  Tianyi Xiong;  Tenghai Qiu
Adobe PDF(2014Kb)  |  收藏  |  浏览/下载:205/66  |  提交时间:2022/04/06
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  
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:268/87  |  提交时间:2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower