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A real-time multiagent strategy learning environment and experimental framework
Zhang HD(张宏达)1,2; Li DC(李德才)2; Yang LY(杨丽英)2; Gu F(谷丰)2; He YQ(何玉庆)2
Department机器人学研究室
Conference Name9th International Conference on Swarm Intelligence, ICSI 2018
Conference DateJune 17-22, 2018
Conference PlaceShanghai, China
Source PublicationAdvances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings
PublisherSpringer Verlag
Publication PlaceBerlin
2018
Pages36-42
Indexed ByEI
EI Accession number20182605383405
Contribution Rank1
ISSN0302-9743
ISBN978-3-319-93817-2
KeywordMultiagent Reinforcement learning Real-time strategy
AbstractMany problems in the real world can be attributed to the problem of multiagent. The study on the issue of multiagent is of great significance to solve these social problems.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22123
Collection机器人学研究室
Corresponding AuthorZhang HD(张宏达)
Affiliation1.University of Chinese Academy of Sciences, Beijing, China
2.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Zhang HD,Li DC,Yang LY,et al. A real-time multiagent strategy learning environment and experimental framework[C]. Berlin:Springer Verlag,2018:36-42.
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