Description
Reinforcement Learning Trees.
Description
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) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.
README.md
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")