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CBT  

Confidence Bound Target Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CBT", "1.0")



Attach the package and use:
library("CBT")
Maintained by
Shouri Hu
[Scholar Profile | Author Map]
First Published: 2018-05-31
Latest Update: 2018-05-31
Description:
The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) .
How to cite:
Shouri Hu (2018). CBT: Confidence Bound Target Algorithm. R package version 1.0, https://cran.r-project.org/web/packages/CBT. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited CBT R package
View CBT citation profile
Other R packages that CBT depends, imports, suggests or enhances
Complete documentation for CBT
Functions, R codes and Examples using the CBT R package
Some associated functions: CBT . 
Some associated R codes: CBT.R .  Full CBT package functions and examples
Downloads during the last 30 days
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