Model-Free Reinforcement Learning

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.


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install.packages("ReinforcementLearning")

1.0.1 by Nicolas Proellochs, 3 months ago


Browse source code at https://github.com/cran/ReinforcementLearning


Authors: Nicolas Proellochs [aut, cre], Stefan Feuerriegel [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, hash, data.table

Suggests testthat, knitr, rmarkdown


See at CRAN