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.
Project details
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 details)
Built Distribution
File details
Details for the file graphRLnx-0.0.3.tar.gz
.
File metadata
- Download URL: graphRLnx-0.0.3.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e42c5e4cfa5fd311076a2d84194e5edf313557069f71d6c793ce8dda23a5bfa0 |
|
MD5 | 775d029b3106bc9a83249a62f05d8626 |
|
BLAKE2b-256 | 2962ee5fc9bdb65e1966bc22e291dd9ed33bbf1cb7bab3284823462a92e4d5ba |
File details
Details for the file graphRLnx-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: graphRLnx-0.0.3-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f8f8ba8d9129f9835942af28ea83b3cbe2fc0020da85c2933f52519ccf58cb00 |
|
MD5 | 28c7ea7630f7791c6c8f66ca966ddae3 |
|
BLAKE2b-256 | 6b54af6f42ea599591cae262979d7e99954cd7638c4a1cfea476168e3f856b65 |