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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, 页码: 118
作者:  Lexing Wang;  Tenghai Qiu;  Zhiqiang Pu;  Jianqiang Yi
Adobe PDF(1302Kb)  |  收藏  |  浏览/下载：21/5  |  提交时间：2024/06/06
Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 13
作者:  Wang, Lexing;  Qiu, Tenghai;  Pu, Zhiqiang;  Yi, Jianqiang;  Zhu, Jinying;  Yuan, Wanmai
Adobe PDF(2578Kb)  |  收藏  |  浏览/下载：102/11  |  提交时间：2024/03/13
Coalition formation  hedonic games  heterogeneous agents  Nash stable  task allocation  
A hybrid formation control design for multi-robot system with obstacle avoidance 会议论文
, Guangzhou, July 27-30
作者:  Wu Shiguang;  Sui Zezhi;  Yi Jianqiang;  Pu Zhiqiang
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：162/57  |  提交时间：2022/06/16
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：339/50  |  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  
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：182/62  |  提交时间：2022/04/06
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：238/47  |  提交时间：2022/04/02
Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
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：249/82  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Multi-Agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning 会议论文
, 线上, 2020.06
作者:  Huimu, Wang;  Tenghai, Qiu;  Zhen, Liu;  Zhiqiang, Pu;  Jianqiang, Yi
Adobe PDF(1461Kb)  |  收藏  |  浏览/下载：203/41  |  提交时间：2021/06/24
Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning 会议论文
, Rio de Janeiro, Brazil, July 8-13, 2018
作者:  Sui Zezhi;  Pu Zhiqiang;  Yi Jianqiang;  Tan Xiangmin
浏览  |  Adobe PDF(1849Kb)  |  收藏  |  浏览/下载：223/54  |  提交时间：2020/07/08
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach 会议论文
, Budapest, Hungary, July 14-19, 2019
作者:  Xiong Tianyi;  Pu Zhiqiang;  Yi Jianqiang;  Sui Zezhi
浏览  |  Adobe PDF(548Kb)  |  收藏  |  浏览/下载：360/123  |  提交时间：2019/05/07
Formation Control  Minimal Learning Parameter  Multi-agent System  Neural Network