Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning.

Chatterjee A, Avazov N

DOI: 10.3389/frai.2026.1834688
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1834688,
  title = {Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning.},
  author = {Chatterjee A and Avazov N},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1834688},
  url = {https://doi.org/10.3389/frai.2026.1834688}
}

RIS

TY  - JOUR
TI  - Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning.
AU  - Chatterjee A
AU  - Avazov N
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1834688
UR  - https://doi.org/10.3389/frai.2026.1834688
ER  -

APA

A, C., & N, A. (2026). Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1834688

Source records

pubmed · retrieved 2026-09-25T20:06:00.854Z