Skip to main content

Run OpenAI Gym environments on an external process or remote machine using gRPC.

Project description

Run OpenAI Gym environments on an external process or remote machine using gRPC.

Installation

Install Gym and run:

pip install gymx

It is recommended to use a virtual environment.

Usage

Server

To start the server run:

python -m gymx

To use a different port run:

python -m gymx --port=54321

Client

Inside your application use:

from gymx import Env

env = Env('CartPole-v0')

To specify the server address use:

env = Env('CartPole-v0', address='localhost:54321')

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gymx-0.0.0.tar.gz (5.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page