Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.

Tejedor M, Hjerde SN, Myhre JN, Godtliebsen F

DOI: 10.3390/diagnostics13193150
Published: 2023 Oct 7
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics13193150,
  title = {Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.},
  author = {Tejedor M and Hjerde SN and Myhre JN and Godtliebsen F},
  year = {2023},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics13193150},
  url = {https://doi.org/10.3390/diagnostics13193150}
}

RIS

TY  - JOUR
TI  - Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.
AU  - Tejedor M
AU  - Hjerde SN
AU  - Myhre JN
AU  - Godtliebsen F
PY  - 2023
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics13193150
UR  - https://doi.org/10.3390/diagnostics13193150
ER  -

APA

M, T., SN, H., JN, M., & F, G. (2023). Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics13193150

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pubmed · retrieved 2026-09-26T10:26:17.098Z