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Reinforcement learning‐based approach for urban road project scheduling considering alternative closure types

Author(s): (Department of Civil Structural, and Environmental Engineering University at Buffalo Buffalo New York USA)
(Department of Civil & Mineral Engineering University of Toronto Toronto Canada)
(Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA)
(Civil, Architectural and Environmental Engineering Department Illinois Institute of Technology Chicago Illinois USA)
(Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13365
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13365.
  • About this
    data sheet
  • Reference-ID
    10808357
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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