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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Bibliographic Details
Main Authors: NGUYEN, Duc Thien, YEOH, William, LAU, Hoong Chuin, Zilberstein, Shlomo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access: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
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Institution: Singapore Management University
Language: English

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