| contributor author | Asghari, Vahid | |
| contributor author | Jahanbiglari, Ava | |
| contributor author | Hsu, Shu-Chien | |
| date accessioned | 2026-08-20T11:10:44Z | |
| date available | 2026-08-20T11:10:44Z | |
| date copyright | 2025/07/29 | |
| date issued | 2025 | |
| identifier other | JITSE4.ISENG-2607.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311801 | |
| description abstract | AbstractThe network-level infrastructure asset management (NL-IAM) problem is excessively
large and complex due to a large number of decision parameters, possible strategies,
and underlying uncertainties. Although it often leads to far-from-reality ...Practical ApplicationsManaging infrastructure networks is essential for economic stability and community
resilience, but uncertainties such as aging, deterioration, and cost fluctuations
make it challenging. This study introduces a decision-making ... | |
| publisher | American Society of Civil Engineers | |
| title | Network-Level Infrastructure Asset Management with Multiagent Actor–Critic Reinforcement Learning: A Case of Highway Bridges | |
| type | Journal Article | |
| journal volume | 31 | |
| journal issue | 4 | |
| journal title | Journal of Infrastructure Systems | |
| identifier doi | 10.1061/JITSE4.ISENG-2607 | |
| journal fristpage | 04025026-1 | |
| journal lastpage | 04025026-15 | |
| page | 15 | |
| tree | Journal of Infrastructure Systems:;2025:;Volume ( 031 ):;issue: 004 | |
| contenttype | Fulltext | |