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

Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings include ensuring the RL algorithm can learn and run stably under...

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Detalles Bibliográficos
Autores principales: Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881427/
https://www.ncbi.nlm.nih.gov/pubmed/36713810
http://dx.doi.org/10.3390/a15080255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881427/
https://www.ncbi.nlm.nih.gov/pubmed/36713810
http://dx.doi.org/10.3390/a15080255

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