A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping
- DOI
- 10.3390/make5020025
- Published
- 04
- Container
- Machine Learning and Knowledge Extraction
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/make5020025,
title = {A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping},
author = {Deepak Vivekanandan and Samuel Wirth and Patrick Karlbauer and Noah Klarmann},
year = {2023},
journal = {Machine Learning and Knowledge Extraction},
doi = {10.3390/make5020025},
url = {https://doi.org/10.3390/make5020025}
}RIS
TY - JOUR TI - A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping AU - Deepak Vivekanandan AU - Samuel Wirth AU - Patrick Karlbauer AU - Noah Klarmann PY - 2023 JO - Machine Learning and Knowledge Extraction DO - 10.3390/make5020025 UR - https://doi.org/10.3390/make5020025 ER -
APA
Vivekanandan, D., Wirth, S., Karlbauer, P., & Klarmann, N. (2023). A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make5020025
Source records
- doaj · retrieved 2026-09-25T01:16:25.878Z