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 |
| 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: gym_0.1.0.tgz, r-oldrel: gym_0.1.0.tgz |
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