Multi-Agent Cognition Difference Reinforcement Learning for MultiAgent Cooperation | |
Huimu, Wang1,2; Tenghai, Qiu2; Zhen, Liu2; Zhiqiang, Pu1,2; Jianqiang, Yi1,2; Wanmai Yuan3 | |
2021-07 | |
会议名称 | International Joint Conference on Neural Networks |
会议日期 | 2021-07 |
会议地点 | 线上 |
摘要 | Multi-agent cooperation is one of the most attractive research fields in multi-agent systems. There are many attempts made by researchers in this field to promote the cooperation behavior. However, in partially-observable environments, a large number of agents and complex interactions among the agents cause huge difficulty for policy learning. Moreover, redundant |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 强化与进化学习 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44954 |
专题 | 综合信息系统研究中心_飞行器智能技术 |
通讯作者 | Tenghai, Qiu |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences 3.China Academy of Electronics and Information Technology |
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,Tenghai, Qiu,Zhen, Liu,et al. Multi-Agent Cognition Difference Reinforcement Learning for MultiAgent Cooperation[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
conference_101719.pd(478KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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