Reinforcement Learning Trees
From MaRDI portal
Publication:5367486
DOI10.1080/01621459.2015.1036994zbMath1374.68466OpenAlexW2026925128WikidataQ36596976 ScholiaQ36596976MaRDI QIDQ5367486
Ruoqing Zhu, Donglin Zeng, Michael R. Kosorok
Publication date: 13 October 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://biostats.bepress.com/uncbiostat/art33
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (24)
The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms ⋮ Tree-based reinforcement learning for estimating optimal dynamic treatment regimes ⋮ Greedy outcome weighted tree learning of optimal personalized treatment rules ⋮ The Delaunay triangulation learner and its ensembles ⋮ A computationally fast variable importance test for random forests for high-dimensional data ⋮ Rates of convergence for random forests via generalized U-statistics ⋮ A random forest guided tour ⋮ Linear Aggregation in Tree-Based Estimators ⋮ Local Linear Forests ⋮ Estimation and Inference of Heterogeneous Treatment Effects using Random Forests ⋮ Consistency of survival tree and forest models: splitting bias and correction ⋮ Consistent and unbiased variable selection under indepedent features using random forest permutation importance ⋮ Understanding complex predictive models with ghost variables ⋮ Bayesian survival tree ensembles with submodel shrinkage ⋮ An evolutionary estimation procedure for generalized semilinear regression trees ⋮ Generalized random forests ⋮ Correlation and variable importance in random forests ⋮ Oblique random survival forests ⋮ Consistency of random forests ⋮ Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection ⋮ Generalization error bounds of dynamic treatment regimes in penalized regression-based learning ⋮ Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes ⋮ Models under which random forests perform badly; consequences for applications ⋮ Asymptotic properties of high-dimensional random forests
This page was built for publication: Reinforcement Learning Trees
