Knowledge Commons of Institute of Automation,CAS
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation | |
Huimu Wang1,2![]() ![]() ![]() ![]() | |
2020-11 | |
会议名称 | Institute of Automation, Chinese Academy of Sciences |
会议日期 | 2020-11 |
会议地点 | 线上 |
摘要 | Multi-agent cooperation is one of the attractive aspects in multi-agent systems. However, during the process of cooperation, communication among agents is limited by the distance or the bandwidth. Besides, the agents move around and their neighbors appear or vanish, which makes the agents hard to capture temporal dependences and to learn a stable policy. To address these issues, a Spatial-Temporal Graph Attentional Long Short-Term Memory (LSTM) Scheme (STGA-LSTM), which is composed of spatial capture network and spatiotemporal LSTM network, is proposed. The spatial capture network is designed based on graph attention network to enlarge the agents’ communication range and capture the spatial structure of the multi-agent system. Based on the standard LSTM, a spatiotemporal LSTM network, which is in combination with graph convolutional network and attention mechanism, is designed to capture the temporal evolutionary patterns while keeping the spatial structure learned by spatial capture network. The results of simulations including mixed cooperative and competitive tasks indicate that the agents can learn stable and complicated strategies with STGALSTM. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 多智能体系统 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44955 |
专题 | 复杂系统认知与决策实验室_飞行器智能技术 |
通讯作者 | Zhen Liu |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, 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 | Huimu Wang,Zhen Liu,Zhiqiang Pu,et al. STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation[C],2020. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Wang2020_Chapter_STG(916KB) | 会议论文 | 暂不开放 | CC BY-NC-SA |
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