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Informing sequential clinical decision-making through reinforcement learning: an empirical study
This paper highlights the role that reinforcement learning can play in the optimization of treatment policies for chronic illnesses. Before applying any off-the-shelf reinforcement learning methods in this setting, we must first tackle a number of challenges. We outline some of these challenges and...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3143507/ https://ncbi.nlm.nih.gov/pubmed/21799585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-010-5229-0 |
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