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TREE-BASED REINFORCEMENT LEARNING FOR ESTIMATING OPTIMAL DYNAMIC TREATMENT REGIMES

Dynamic treatment regimes (DTRs) are sequences of treatment decision rules, in which treatment may be adapted over time in response to the changing course of an individual. Motivated by the substance use disorder (SUD) study, we propose a tree-based reinforcement learning (T-RL) method to directly e...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Ann Appl Stat
Main Authors: Tao, Yebin, Wang, Lu, Almirall, Daniel
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6457899/
https://ncbi.nlm.nih.gov/pubmed/30984321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOAS1137
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