Scaling up Cooperative Multi-agent Reinforcement Learning Systems

Scaling up Cooperative Multi-agent Reinforcement Learning Systems

Cooperative multi-agent reinforcement learning methods aim to learn effective collaborative behaviours of multiple agents performing complex tasks. However, existing MARL methods are commonly proposed for fairly small-scale multi-agent benchmark problems, wherein both the number of agents and the le...

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書目詳細資料
主要作者:	GENG, Minghong
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2024
主題:	Multi-agent Reinforcement Learning Scaling up MARL Long-horizon MARL Hierarchical Multi-agent Systems Task Decomposition Multi-agent learning Reinforcement learning Scalability Collective learning Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/9750 https://ink.library.smu.edu.sg/context/sis_research/article/10750/viewcontent/p2737__1_.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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