A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation | |
Huimu Wang1,2; Zhiqiang Pu1,2; Zhen Liu2; Jianqiang Yi1,2; Tenghai Qiu2 | |
2020-08 | |
会议日期 | 2020-8 |
会议地点 | 线上 |
英文摘要 | The multi-agent reinforcement learning (MARL) suffers from several issues when it is applied to large-scale environments. Specifically, the communication among the agents is limited by the communication distance or bandwidth. Besides, the interactions among the agents are complex in large-scale environments, which makes each agent hard to take different influences of the other agents into consideration and to learn |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44950] |
专题 | 综合信息系统研究中心_飞行器智能技术 |
通讯作者 | Zhiqiang Pu |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Huimu Wang,Zhiqiang Pu,Zhen Liu,et al. A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation[C]. 见:. 线上. 2020-8. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论