contextual: Simulation and Analysis of Contextual Multi-Armed Bandit Policies

Facilitates the simulation and evaluation of context-free and contextual multi-Armed Bandit policies or algorithms to ease the implementation, evaluation, and dissemination of both existing and new bandit algorithms and policies.

Version: 0.9.1
Imports: R6 (≥ 2.3.0), data.table, R.devices, foreach, doParallel, itertools, iterators, nleqslv, checkmate
Suggests: testthat, vdiffr, covr, knitr, here, rmarkdown, devtools, ggplot2
Published: 2018-10-30
Author: Robin van Emden ORCID iD [aut, cre], Maurits Kaptein ORCID iD [ctb]
Maintainer: Robin van Emden <robinvanemden at gmail.com>
BugReports: https://github.com/Nth-iteration-labs/contextual/issues
License: GPL-3
URL: https://github.com/Nth-iteration-labs/contextual
NeedsCompilation: no
Materials: README NEWS
CRAN checks: contextual results

Downloads:

Reference manual: contextual.pdf
Vignettes: Getting started: running simulations
Posts
Package source: contextual_0.9.1.tar.gz
Windows binaries: r-devel: contextual_0.9.1.zip, r-release: contextual_0.9.1.zip, r-oldrel: contextual_0.9.1.zip
OS X binaries: r-release: contextual_0.9.1.tgz, r-oldrel: contextual_0.9.1.tgz

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