Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator

Mobile health (mHealth) intervention systems can employ adaptive strategies to interact with users. Instead of designing such complex strategies manually, reinforcement learning (RL) can be used to adaptively optimize intervention strategies concerning the user’s context. In this paper, we focus on...

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Detalles Bibliográficos
Autores principales: Wang, Shihan, Zhang, Chao, Kröse, Ben, van Hoof, Herke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Mobile & Wireless Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523513/
https://www.ncbi.nlm.nih.gov/pubmed/34664120
http://dx.doi.org/10.1007/s10916-021-01773-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523513/
https://www.ncbi.nlm.nih.gov/pubmed/34664120
http://dx.doi.org/10.1007/s10916-021-01773-0

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