Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol.

Ribba B, Bräm DS, Baverel PG, Peck RW

DOI: 10.1002/psp4.12858
Published: 2022 Nov
Container: CPT: pharmacometrics & systems pharmacology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/psp4.12858,
  title = {Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol.},
  author = {Ribba B and Bräm DS and Baverel PG and Peck RW},
  year = {2022},
  journal = {CPT: pharmacometrics \& systems pharmacology},
  doi = {10.1002/psp4.12858},
  url = {https://doi.org/10.1002/psp4.12858}
}

RIS

TY  - JOUR
TI  - Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol.
AU  - Ribba B
AU  - Bräm DS
AU  - Baverel PG
AU  - Peck RW
PY  - 2022
JO  - CPT: pharmacometrics & systems pharmacology
DO  - 10.1002/psp4.12858
UR  - https://doi.org/10.1002/psp4.12858
ER  -

APA

B, R., DS, B., PG, B., & RW, P. (2022). Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol.. CPT: pharmacometrics & systems pharmacology. https://doi.org/10.1002/psp4.12858

Source records

pubmed · retrieved 2026-09-25T13:37:44.237Z