Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm
Researchers have used distributed constraint optimization problems (DCOPs) to model various multi-agent coordination and resource allocation problems. Very recently, Ottens et al. proposed a promising new approach to solve DCOPs that is based on confidence bounds via their Distributed UCT (DUCT) sam...
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Published in: | The Journal of artificial intelligence research Vol. 64; pp. 705 - 748 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
San Francisco
AI Access Foundation
01-01-2019
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Subjects: | |
Online Access: | Get full text |
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