Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs

Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs

Researchers have introduced the Dynamic Distributed Constraint Optimization Problem (Dynamic DCOP) formulation to model dynamically changing multi-agent coordination problems, where a dynamic DCOP is a sequence of (static canonical) DCOPs, each partially different from the DCOP preceding it. Existin...

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書目詳細資料
Main Authors:	NGUYEN, Duc Thien, YEOH, William, LAU, Hoong Chuin, Zilberstein, Shlomo
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2014
主題:	Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/2009 https://ink.library.smu.edu.sg/context/sis_research/article/3008/viewcontent/p1341_DecentralizedMulitAgentReinforcementLearningDCOP_2014_aamas.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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