Package: gym 0.1.0

gym: Provides Access to the OpenAI Gym API

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>.

Authors:Paul Hendricks [aut, cre]

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gym/json (API)

# Install 'gym' in R:

install.packages('gym', repos = c('https://paulhendricks.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paulhendricks/gym-r/issues

On CRAN:

openai-gym openai-universe reinforcement-learning

4.63 score 21 stars 41 scripts 111 downloads 19 exports 8 dependencies

Last updated 7 years agofrom:52237a6de5. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	OK	Oct 27 2024
R-4.5-linux	OK	Oct 27 2024
R-4.4-win	OK	Oct 27 2024
R-4.4-mac	OK	Oct 27 2024
R-4.3-win	OK	Oct 27 2024
R-4.3-mac	OK	Oct 27 2024

Exports:create_GymClient env_action_space_contains env_action_space_info env_action_space_sample env_close env_create env_list_all env_monitor_close env_monitor_start env_observation_space_info env_reset env_step get_request GymClient parse_server_error_or_raise_for_status post_request random_discrete_agent shutdown_server upload

Dependencies:askpass curl httr jsonlite mime openssl R6 sys

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create a GymClient instance.	create_GymClient
Evaluate whether an action is a member of an environments's action space.	env_action_space_contains
Get information (name and dimensions/bounds) of the environments's action space.	env_action_space_info
Sample an action from the environments's action space.	env_action_space_sample
Flush all monitor data to disk.	env_close
Create an instance of the specified environment.	env_create
List all environments running on the server.	env_list_all
Flush all monitor data to disk.	env_monitor_close
Start monitoring.	env_monitor_start
Get information (name and dimensions/bounds) of the environment's observation space.	env_observation_space_info
Reset the state of the environment and return an initial observation.	env_reset
Step though an environment using an action.	env_step
Submit a GET request to an OpenAI Gym server.	get_request
gym: Provides Access to the OpenAI Gym API	gym-package gym
Create a GymClient instance.	GymClient
Parse the server error or raise for status.	parse_server_error_or_raise_for_status
Submit a POST request to an OpenAI Gym server.	post_request
Represent a GymClient instance on the command line.	print.GymClient
A sample random discrete agent.	random_discrete_agent
Request a server shutdown.	shutdown_server
Flush all monitor data to disk.	upload