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| Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems 会议论文 , online, 2022 作者: Qingxu Fu ; Tenghai Qiu ; Jianqiang Yi ; Zhiqiang Pu ; Shiguang Wu![](/image/person.jpg)
Adobe PDF(5807Kb)  |   收藏  |  浏览/下载:38/13  |  提交时间:2024/06/05 |
| 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![](/image/person.jpg)
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:121/0  |  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 |
| Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments 会议论文 , 线上会议, 2021-9 作者: Wu Shiguang ; Qiu Tenghai ; Pu Zhiqiang ; Yi Jianqiang![](/image/person.jpg)
Adobe PDF(1396Kb)  |   收藏  |  浏览/下载:273/80  |  提交时间:2022/06/16 |
| 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![](/image/person.jpg)
Adobe PDF(12862Kb)  |   收藏  |  浏览/下载:296/50  |  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![](/image/person.jpg)
Adobe PDF(2014Kb)  |   收藏  |  浏览/下载:200/65  |  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![](/image/person.jpg)
Adobe PDF(15731Kb)  |   收藏  |  浏览/下载:291/35  |  提交时间:2022/04/02 Multi-target coverage multi-robot system connectivity maintenance deep reinforcement learning |