The Brawlhalla Gym
This is a python API that can be used to treat the game Brawlhalla as though it were an OpenAI Gym-style environment for Reinforcement Learning projects. It is heavily inspired by RLGym, and the component model will be familiar if you have used it.
Requirements
- A Windows 10 or 11 PC
- Brawlhalla (Steam)
- Python 3.9 or newer
brawlgym_core, the engine bridge — not yet available
Installation
Install the library via pip:
pip install brawlgym
Usage
Wiki coming soon...
1 maintainer
Metadata
1 maintainer
Release files for brawlgym 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brawlgym-0.1.0.tar.gz | 291.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brawlgym-0.1.0-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
Total release size: 589.8 kB
Release files / brawlgym-0.1.0.tar.gz
| Download URL | brawlgym-0.1.0.tar.gz |
|---|---|
| Size | 291.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.11.9
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Release files / brawlgym-0.1.0-cp311-cp311-win_amd64.whl
| Download URL | brawlgym-0.1.0-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 298.4 kB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
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