Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified beforehand to indicate the goal of tasks. However...

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Detalles Bibliográficos
Autores principales: Yu, Chao, Liu, Jiming, Zhao, Hongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454602/
https://www.ncbi.nlm.nih.gov/pubmed/30961594
http://dx.doi.org/10.1186/s12911-019-0763-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454602/
https://www.ncbi.nlm.nih.gov/pubmed/30961594
http://dx.doi.org/10.1186/s12911-019-0763-6

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