Optimal Dose Escalation Using Deep Reinforcement Learning R package RLescalation version 1.0.3 An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD). Software Imports: glue, R6, nleqslv, reticulate, stats, utils, zip Suggests: knitr, rmarkdown Kentaro Matsuura <matsuurakentaro55@gmail.com> Comprehensive R Archive Network (CRAN) Kentaro Matsuura [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5262-055X>) MIT + file LICENSE (https://CRAN.R-project.org/package=RLescalation/LICENSE) 2025-10-07 application/tgz https://CRAN.R-project.org/package=RLescalation doi:10.32614/CRAN.package.RLescalation en-US