Custom OpenAI gym environments for Perciplex RaaS platform
Project description
RaaS Gym Environments
These are the gym environments designed to be used with RaaS.
Currently, we have the pendulum-v0 implementation.
Installation
cd gym_raas
pip install -e .
Use
import gym
import gym_raas
env_pend = gym.make('raaspendulum-v0')
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
gym_raas-0.0.1.tar.gz
(4.2 kB
view details)
Built Distribution
File details
Details for the file gym_raas-0.0.1.tar.gz
.
File metadata
- Download URL: gym_raas-0.0.1.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bbc168a8e00060e7bcb49153e5708d9a0eb2c187220f1308493b057cae375a1f |
|
MD5 | 3fed1a52ae0ca946d923c9237edf98fe |
|
BLAKE2b-256 | 29228fd436b90ffad287460f58bb962c8fc34aa12877bb8fa88a0c27a19c4c31 |
File details
Details for the file gym_raas-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: gym_raas-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d80c8575b5268a33e37a661bc7ea815bedaa1f8bb474c6382220d708974d09ab |
|
MD5 | 27ce45c9fd971e056aefe5a5715c474f |
|
BLAKE2b-256 | 5ed081005eb582b8b1d7e066b663258775be4d7f24fc8c2f0b2d58afb0c9e586 |