A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling

Research article (2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021) · cited 17× · AI/ML
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A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling

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A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-policy-based-reinforcement-learning-approach-for-high-speed-railway-timetable-rescheduling
MLA “A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-policy-based-reinforcement-learning-approach-for-high-speed-railway-timetable-rescheduling.
BibTeX @misc{4ortxyz_a-policy-based-reinforcement-learning-approach-for-high-speed-railway-timetable-rescheduling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling}}, year = {2026}, url = {https://4ort.xyz/entity/a-policy-based-reinforcement-learning-approach-for-high-speed-railway-timetable-rescheduling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling — https://4ort.xyz/entity/a-policy-based-reinforcement-learning-approach-for-high-speed-railway-timetable-rescheduling (retrieved 2026-05-24)

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