A set of Pybullet-based Gymnasium compatible environments.
Project description
gymtonic
Pybullet-based Gymnasium compatible environments.
This project provides a collection of Pybullet-based Gymnasium compatible environments. Each environment is designed to offer a unique task for reinforcement learning agents.
To learn more about each environment, click on the name:
Simple Grid-based environments
Soccer environments
Feel free to explore these environments and start training your RL agents!
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gymtonic-0.1.4.tar.gz.
File metadata
- Download URL: gymtonic-0.1.4.tar.gz
- Upload date:
- Size: 42.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
261286c15518c4cfa1b7ddd65de8b1280871f2b5bb52cd513011f1f288010b8d
|
|
| MD5 |
49cdc347ae1918d9f29e2ccdc987ac5c
|
|
| BLAKE2b-256 |
a072f578f4028c7a261ae826d2f6a0961d0ae43add94323a754835f49320e969
|
File details
Details for the file gymtonic-0.1.4-py3-none-any.whl.
File metadata
- Download URL: gymtonic-0.1.4-py3-none-any.whl
- Upload date:
- Size: 45.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58e36968e2d3b98fa8fe9e5dc0405bed907366c9389ce492ab51673157c781df
|
|
| MD5 |
c27811373ccd66427bdfc28ca9758c2d
|
|
| BLAKE2b-256 |
8a0da6ee42fddc4e5ea2a48ac4e982dbbd85810fbefc0c7add799e18d25f8b24
|
