Package: ReinforcementLearning
Type: Package
Title: Model-Free Reinforcement Learning
Version: 1.0.5
Date: 2020-03-02
Authors@R: c(person("Nicolas", "Proellochs", email="nicolas.proellochs@wi.jlug.de",
                    role=c("aut", "cre")),
             person("Stefan", "Feuerriegel", email="sfeuerriegel@ethz.ch",
                    role=c("aut")))
Maintainer: Nicolas Proellochs <nicolas.proellochs@wi.jlug.de>
Description: Performs model-free reinforcement learning in R. This implementation enables the learning
    of an optimal policy based on sample sequences consisting of states, actions and rewards. In 
    addition, it supplies multiple predefined reinforcement learning algorithms, such as experience 
    replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.
License: MIT + file LICENSE
Depends: R (>= 3.2.0)
Imports: ggplot2, hash (>= 2.0), data.table
Suggests: testthat, knitr, rmarkdown
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-02 01:20:42 UTC; nproe
Author: Nicolas Proellochs [aut, cre],
  Stefan Feuerriegel [aut]
Repository: CRAN
Date/Publication: 2020-03-02 06:00:15 UTC
Built: R 4.6.0; ; 2026-03-19 04:02:26 UTC; windows
