reinforcelearn (0.2.1)

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Reinforcement Learning.

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) ) and experience replay (Mnih et al. (2013) ).

Maintainer: Markus Dumke
Author(s): Markus Dumke [aut, cre]

License: MIT + file LICENSE

Uses: checkmate, nnet, purrr, R6, testthat, knitr, rmarkdown, lintr, covr, reticulate, keras

Released 12 months ago.

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