Distributed multi-agent reinforcement learning approach for energy-saving optimization under disturbance conditions
Dahan Wang, Jianjun Wu, Ximing Chang, Haodong Yin
| Year of publication: |
2025
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| Authors: | Wang, Dahan ; Wu, Jianjun ; Chang, Ximing ; Yin, Haodong |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 200.2025, Art.-No. 104180, p. 1-22
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| Subject: | Actor-critic architecture | Multi-agent reinforcement learning | Station disturbance scenarios | Timetable optimization | Train energy conservation | Energieeinsparung | Energy conservation | Agentenbasierte Modellierung | Agent-based modeling | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning | Mathematische Optimierung | Mathematical programming | Linienverkehr | Scheduled transport |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.104180 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015451261