Gym: A universal API for reinforcement learning environments
Project description
Gym
Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Since its release, Gym's API has become the field standard for doing this.
Gym documentation website is at https://www.gymlibrary.ml/, and you can propose fixes and changes to it here.
Gym also has a discord server for development purposes that you can join here: https://discord.gg/nHg2JRN489
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
File details
Details for the file gym-0.24.1.tar.gz.
File metadata
- Download URL: gym-0.24.1.tar.gz
- Upload date:
- Size: 696.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b23bbaa96ba0771a16a9f80062edb79b6f176ffdc84f39ea4645b03a8b72291
|
|
| MD5 |
556b82316c6de7635353edc291d87595
|
|
| BLAKE2b-256 |
b80fa56357a6228d93c8caa36c57f570419bdee433b9cdc644d94962ee6e2e5c
|
