Publications
RLT: Reinforcement learning trees (R).. 2.0 ed., 2015.
Reinforcement learning trees In The University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. UNC at Chapel Hill. Chapel Hill: The University of North Carolina, 2012.
Tree based weighted learning for estimating individualized treatment rules with censored data." Electron J Stat 11, no. 2 (2017): 3927-3953.
"Reinforcement Learning Trees." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
"Recursively Imputed Survival Trees." J Am Stat Assoc 107, no. 497 (2012): 331-340.
"Greedy outcome weighted tree learning of optimal personalized treatment rules." Biometrics 73, no. 2 (2017): 391-400.
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