A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping

Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann

Open source

DOI
10.3390/make5020025
Published
04
Container
Machine Learning and Knowledge Extraction
Publisher
Not recorded
Open access
yes

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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

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