brawlgym-ppo
A vectorized implementation of PPO for use with brawlgym, adapted from rlgym-ppo.
INSTALLATION
- Install brawlgym.
- If you would like to use a GPU install PyTorch with CUDA
- Install this project via
pip install git+https://github.com/chrisrca/brawlgym-ppo
USAGE
Import the learner with from brawlgym_ppo import Learner, pass it a function that takes a game port and returns a
brawlgym environment, and run the learning algorithm. The learner patches the game, boots one instance per process
and hands each process its port:
from brawlgym_ppo import Learner
def my_brawlgym_function(port):
import brawlgym
return brawlgym.make(port=port)
learner = Learner(my_brawlgym_function)
learner.learn()
See example.py for a function that configures the environment's components.
1 maintainer
Metadata
1 maintainer
Release files for brawlgym-ppo 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_ppo-0.1.0.tar.gz | 32.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brawlgym_ppo-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.4 kB
Release files / brawlgym_ppo-0.1.0.tar.gz
| Download URL | brawlgym_ppo-0.1.0.tar.gz |
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| Size | 32.6 kB |
| Tags | Source |
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Release files / brawlgym_ppo-0.1.0-py3-none-any.whl
| Download URL | brawlgym_ppo-0.1.0-py3-none-any.whl |
|---|---|
| Size | 39.8 kB |
| Tags | Python 3 |
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