The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
OpenAI Gym is a open-source Python toolkit for developing and comparing reinforcement learning algorithms. This is a wrapper for the OpenAI Gym API, and enables access to an ever-growing variety of environments. For more details on OpenAI Gym, please see here: <https://github.com/openai/gym>. For more details on the OpenAI Gym API specification, please see here: <https://github.com/openai/gym-http-api>.
Version: | 0.1.0 |
Depends: | R (≥ 3.3.1) |
Imports: | httr, jsonlite |
Suggests: | testthat |
Published: | 2016-10-25 |
DOI: | 10.32614/CRAN.package.gym |
Author: | Paul Hendricks [aut, cre] |
Maintainer: | Paul Hendricks <paul.hendricks.2013 at owu.edu> |
BugReports: | https://github.com/paulhendricks/gym-R/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/paulhendricks/gym-R |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | gym results |
Reference manual: | gym.pdf |
Package source: | gym_0.1.0.tar.gz |
Windows binaries: | r-devel: gym_0.1.0.zip, r-release: gym_0.1.0.zip, r-oldrel: gym_0.1.0.zip |
macOS binaries: | r-release (arm64): gym_0.1.0.tgz, r-oldrel (arm64): gym_0.1.0.tgz, r-release (x86_64): gym_0.1.0.tgz, r-oldrel (x86_64): gym_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gym to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.