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ReinforcementLearning  

Model-Free Reinforcement Learning
View on CRAN: Click here


Download and install ReinforcementLearning package within the R console
Install from CRAN:
install.packages("ReinforcementLearning")

Install from Github:
library("remotes")
install_github("cran/ReinforcementLearning")

Install by package version:
library("remotes")
install_version("ReinforcementLearning", "1.0.5")



Attach the package and use:
library("ReinforcementLearning")
Maintained by
Nicolas Proellochs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-18
Latest Update: 2020-03-02
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) .
How to cite:
Nicolas Proellochs (2017). ReinforcementLearning: Model-Free Reinforcement Learning. R package version 1.0.5, https://cran.r-project.org/web/packages/ReinforcementLearning. Accessed 05 Jan. 2025.
Previous versions and publish date:
1.0.0 (2017-04-18 19:40), 1.0.1 (2017-06-19 12:20), 1.0.2 (2018-04-08 17:19), 1.0.3 (2019-04-21 23:00), 1.0.4 (2019-05-25 12:20)
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Complete documentation for ReinforcementLearning
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