Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines.

Trella, Anna L; Zhang, Kelly W; Nahum-Shani, Inbal; Shetty, Vivek; Doshi-Velez, Finale; Murphy, Susan A

Trella, Anna L; Zhang, Kelly W; Nahum-Shani, Inbal; Shetty, Vivek; Doshi-Velez, Finale; Murphy, Susan A.

Afiliación

Trella AL; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02420, USA.
Zhang KW; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02420, USA.
Nahum-Shani I; Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA.
Shetty V; Schools of Dentistry & Engineering, University of California, Los Angeles, CA 90095, USA.
Doshi-Velez F; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02420, USA.
Murphy SA; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02420, USA.

Algorithms ; 15(8)2022 Aug.

Article en En | MEDLINE | ID: mdl-36713810

Palabras clave

algorithm design; algorithm evaluation; mobile health; online learning; reinforcement learning (RL)

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Algorithms Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google