Skip to content

RLoptimal

Optimal Adaptive Allocation Using Deep Reinforcement Learning

v1.2.2 · Oct 2, 2025 · MIT + file LICENSE

Description

An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) <doi:10.1002/sim.9247>). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.

Downloads

189

Last 30 days

22969th

509

Last 90 days

2.1K

Last year

Trend: +8% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies DoseFinding glue R6 reticulate zip RLoptimal

Version History

new 1.2.2 Mar 10, 2026
updated 1.2.2 ← 1.2.1 diff Oct 2, 2025
updated 1.2.1 ← 1.2.0 diff Jan 12, 2025
updated 1.2.0 ← 1.1.1 diff Dec 20, 2024
updated 1.1.1 ← 1.1.0 diff Nov 20, 2024
updated 1.1.0 ← 1.0.1 diff Nov 2, 2024
new 1.0.1 Oct 2, 2024