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RLoptimal  

Optimal Adaptive Allocation Using Deep Reinforcement Learning
View on CRAN: Click here


Download and install RLoptimal package within the R console
Install from CRAN:
install.packages("RLoptimal")

Install from Github:
library("remotes")
install_github("cran/RLoptimal")

Install by package version:
library("remotes")
install_version("RLoptimal", "1.2.1")



Attach the package and use:
library("RLoptimal")
Maintained by
Kentaro Matsuura
[Scholar Profile | Author Map]
First Published: 2024-10-03
Latest Update: 2024-10-03
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.
How to cite:
Kentaro Matsuura (2024). RLoptimal: Optimal Adaptive Allocation Using Deep Reinforcement Learning. R package version 1.2.1, https://cran.r-project.org/web/packages/RLoptimal. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0.1 (2024-10-03 21:00), 1.1.0 (2024-11-03 06:40), 1.1.1 (2024-11-21 23:10), 1.2.0 (2024-12-21 04:10)
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Complete documentation for RLoptimal
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Full RLoptimal package functions and examples
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