Knowledge Commons of Institute of Automation,CAS
Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation | |
Huimu Wang1,2; Zhen Liu2; Jianqiang Yi1,2; Zhiqiang Pu1,2 | |
发表期刊 | Algorithms |
2021-03 | |
期号 | 14页码:98 |
摘要 | Multiagent cooperation is one of the most attractive research fields in multiagent systems. There are many attempts made by researchers in this field to promote cooperation behavior. However, several issues still exist, such as complex interactions among different groups of agents, redundant communication contents of irrelevant agents, which prevents the learning and convergence of agent cooperation behaviors. To address the limitations above, a novel method called multiagent hierarchical cognition difference policy (MA-HCDP) is proposed in this paper. It includes a hierarchical group network (HGN), a cognition difference network (CDN), and a soft communication network (SCN). HGN is designed to distinguish different underlying information of diverse groups’ observations (including friendly group, enemy group, and object group) and extract different high-dimensional state representations of different groups. CDN is designed based on a variational auto-encoder to allow each agent to choose its neighbors (communication targets) adaptively with its environment cognition difference. SCN is designed to handle the complex interactions among the agents with a soft attention mechanism. The results of simulations demonstrate the superior effectiveness of our method compared with existing methods. |
关键词 | multiagent system deep reinforcement learning variational autoencoder attention mechanism |
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 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44952 |
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,Jianqiang Yi,et al. Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation[J]. Algorithms,2021(14):98. |
APA | Huimu Wang,Zhen Liu,Jianqiang Yi,&Zhiqiang Pu.(2021).Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation.Algorithms(14),98. |
MLA | Huimu Wang,et al."Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation".Algorithms .14(2021):98. |
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