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.


Reference manual

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1.0.1 by Nicolas Proellochs, 5 months ago

Browse source code at

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