Package: reinforcelearn
Type: Package
Title: Reinforcement Learning
Version: 0.2.1
Authors@R: person("Markus", "Dumke", email = {"markusdumke@gmail.com"}, role = c("aut", "cre"))
Description: Implements reinforcement learning environments and algorithms as described in Sutton & Barto (1998, ISBN:0262193981).
    The Q-Learning algorithm can be used with function approximation, 
    eligibility traces (Singh & Sutton (1996) <doi:10.1007/BF00114726>) 
    and experience replay (Mnih et al. (2013) <arXiv:1312.5602>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
RoxygenNote: 6.1.1
BugReports: https://github.com/markusdumke/reinforcelearn/issues
URL: http://markusdumke.github.io/reinforcelearn
SystemRequirements: (Python and gym only required if gym environments
        are used)
Imports: checkmate (>= 1.8.4), R6 (>= 2.2.2), nnet (>= 7.3-12), purrr
        (>= 0.2.4)
Suggests: reticulate, keras, knitr, rmarkdown, testthat, covr, lintr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-08 19:08:56 UTC; Markus
Author: Markus Dumke [aut, cre]
Maintainer: Markus Dumke <markusdumke@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-09 11:50:08 UTC
Built: R 4.0.0; ; 2020-04-10 04:50:43 UTC; windows
