Reinforcement learning‐based approach for urban road project scheduling considering alternative closure types
Autor(en): |
S. E. Seilabi
(Department of Civil Structural, and Environmental Engineering University at Buffalo Buffalo New York USA)
M. Saneii (Department of Civil & Mineral Engineering University of Toronto Toronto Canada) M. Pourgholamali (Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA) M. Miralinaghi (Civil, Architectural and Environmental Engineering Department Illinois Institute of Technology Chicago Illinois USA) S. Labi (Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering |
DOI: | 10.1111/mice.13365 |
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Datenseite - Reference-ID
10808357 - Veröffentlicht am:
17.01.2025 - Geändert am:
17.01.2025