Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function

Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function

Belief propagation algorithms including Max-sum and its variants are important methods for multi-agent optimization. However, they face a significant scalability challenge as the computational overhead grows exponentially with respect to the arity of each utility function. To date, a number of accel...

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書目詳細資料
Main Authors:	Deng, Yanchen, An, Bo
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Inference Domain Pruning
在線閱讀:	https://hdl.handle.net/10356/162674
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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