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Network-Level Infrastructure Asset Management with Multiagent Actor–Critic Reinforcement Learning: A Case of Highway Bridges
Publisher: American Society of Civil Engineers
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 ...
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