Knowledge Commons of Institute of Automation,CAS
Learning to Coordinate via Multiple Graph Neural Networks | |
Zhiwei Xu1,2; Bin Zhang1,2; Yunpeng Bai1,2; Dapeng Li1,2; Guoliang Fan1,2 | |
2022 | |
会议名称 | International Conference on Neural Information Processing(ICONIP) |
页码 | 52-63 |
会议日期 | December 8-12, 2021 |
会议地点 | BALI, Indonesia |
摘要 | The collaboration between agents has gradually become an important topic in multi-agent systems. The key is how to efficiently solve the credit assignment problems. This paper introduces MGAN for collaborative multi-agent reinforcement learning, a new algorithm that combines graph convolutional networks and value-decomposition methods. MGAN learns the representation of agents from different perspectives through multiple graph networks, and realizes the proper allocation of attention between all agents. We show the amazing ability of the graph network in representation learning by visualizing the output of the graph network, and therefore improve interpretability for the actions of each agent in the multi-agent system. |
DOI | 10.1007/978-3-030-92238-2\_5 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 多智能体系统 |
国重实验室规划方向分类 | 多智能体决策 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56519 |
专题 | 复杂系统认知与决策实验室_决策指挥与体系智能 |
通讯作者 | Guoliang Fan |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhiwei Xu,Bin Zhang,Yunpeng Bai,et al. Learning to Coordinate via Multiple Graph Neural Networks[C],2022:52-63. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Learning to Coordina(2047KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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