a directed acyclic graph environment for use with openAI gym, with a networkX backend
Project description
graphRL with NetworkX
This repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling, using a NetworkX backend.
Installation
install this package via
pip3 install graphRLnx
Usage
import gym
import graphRLnx
env = gym.make('graphRL-v0')
The Environment
Tbc.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
graphRLnx-0.0.3.tar.gz
(3.2 kB
view hashes)
Built Distribution
Close
Hashes for graphRLnx-0.0.3-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f8f8ba8d9129f9835942af28ea83b3cbe2fc0020da85c2933f52519ccf58cb00 |
|
| MD5 | 28c7ea7630f7791c6c8f66ca966ddae3 |
|
| BLAKE2b-256 | 6b54af6f42ea599591cae262979d7e99954cd7638c4a1cfea476168e3f856b65 |
