Skip to main content

a directed acyclic graph environment for use with openAI gym

Project description

This repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling.


Install the OpenAI gym.

Then install this package via

pip install -e .


import gym
import graphRL

env = gym.make('graphRL-v0')

The Environment


Project details

Release history Release notifications

Download files

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

Files for graphRL, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size graphRL-0.0.1-py3-none-any.whl (4.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size graphRL-0.0.1.tar.gz (2.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page