rlsims provides a standardized, user-friendly interface for simulating reinforcement learning agents.
You can install and load the development version of rlsims from GitHub as follows:
# Install the development version from GitHub
if (!require("remotes")) install.packages("remotes")
remotes::install_github("jdtrat/rlsims")
# Load package
library(rlsims)Coming soon!
For a more in-depth explanation of rlsims, please see what's coming soon!
If you want to see a feature, or report a bug, please file an issue or open a pull-request! As this package is just getting off the ground, we welcome all feedback and contributions. See our contribution guidelines for more details on getting involved!
Please note that the rlsims project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.