Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem

Research article (Energies, 2019) · cited 33× · AI/ML
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Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem

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Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem is a scholarly article[1].

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  • Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-deep-deterministic-policy-gradient-algorithm-for-energy-aimed-timetable-rescheduling-problem
MLA “Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-deep-deterministic-policy-gradient-algorithm-for-energy-aimed-timetable-rescheduling-problem.
BibTeX @misc{4ortxyz_application-of-a-deep-deterministic-policy-gradient-algorithm-for-energy-aimed-timetable-rescheduling-problem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-deep-deterministic-policy-gradient-algorithm-for-energy-aimed-timetable-rescheduling-problem}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of a Deep Deterministic Policy Gradient Algorithm for Energy-Aimed Timetable Rescheduling Problem — https://4ort.xyz/entity/application-of-a-deep-deterministic-policy-gradient-algorithm-for-energy-aimed-timetable-rescheduling-problem (retrieved 2026-05-24)

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