RL-Worlds 
RL-Worlds is a collection of reinforcement learning (RL) environments designed to help researchers, students, and enthusiasts study and implement RL algorithms. All environments in this repository are built to adhere to the Gymnasium environment format, making them compatible with a wide range of RL libraries and tools.
Available Environments
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🐾 Random Walk
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🌟 Thousand States Random Walk
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🌍 Grid World
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🌬️ Windy Grid World
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Tunnel World
1 maintainer
Metadata
1 maintainer
Release files for rl-worlds 0.0.3.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rl_worlds-0.0.3.post1.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rl_worlds-0.0.3.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / rl_worlds-0.0.3.post1.tar.gz
| Download URL | rl_worlds-0.0.3.post1.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.9.23
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Release files / rl_worlds-0.0.3.post1-py3-none-any.whl
| Download URL | rl_worlds-0.0.3.post1-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
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