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Multiyear Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach

dc.contributor.authorFard, Amir
dc.contributor.authorYuan, Arnold X.-X.
dc.date.accessioned2026-08-20T11:12:11Z
dc.date.available2026-08-20T11:12:11Z
dc.date.copyright2026/05/26
dc.date.issued2026
dc.identifier.otherJITSE4.ISENG-2814.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311838
dc.description.abstractAbstractInfrastructure asset management is essential for sustaining the performance of public infrastructure such as road networks, bridges, and utility networks. Traditional maintenance and rehabilitation planning methods often face scalability and ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMultiyear Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
dc.typeJournal Article
dc.journal.volume32
dc.journal.issue3
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/JITSE4.ISENG-2814
dc.journal.fristpage04026011-1
dc.journal.lastpage04026011-16
dc.page16
dc.treeJournal of Infrastructure Systems:;2026:;Volume ( 032 ):;issue: 003
dc.contenttypeFulltext


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