Reinforcement Learning Trees

Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable, based on Zhu, Zeng & Kosorok (2015) , subject weight, variable weight, tracking subjects used in each tree, etc.

RLT

This is the original C version of the RLT (Reinforcement Learning Trees) package.

Installation

You can install the released version of RLT from CRAN with:

  install.packages("RLT")