A multi-task deep reinforcement learning approach to real-time railway train rescheduling
Tao Tang, Simin Chai, Wei Wu, Jiateng Yin, Andrea D’Ariano
| Year of publication: |
2025
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|---|---|
| Authors: | Tang, Tao ; Chai, Simin ; Wu, Wei ; Yin, Jiateng ; D'Ariano, Andrea |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 194.2025, Art.-No. 103900, p. 1-30
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| Subject: | High-speed railway | Multi-task deep reinforcement learning | Quadratic assignment programming | Real-time train rescheduling | Train delay time | Schienenverkehr | Railway transport | Betriebliches Bildungsmanagement | Employer-provided training | Theorie | Theory | Scheduling-Verfahren | Scheduling problem | Hochgeschwindigkeitsverkehr | High-speed rail | Lernen | Learning | Personalentwicklung | Human resource development | Lernprozess | Learning process | Tourenplanung | Vehicle routing problem | Berufsbildung | Vocational training |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2024.103900 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015449499