Metadata-Version: 2.1
Name: jigglypuff-rl
Version: 0.0.2.dev1
Summary: PyTorch implementations of reinforcement learning algorithms.
Home-page: https://github.com/SforAiDl/JigglypuffRL
Author: Society for Artificial Intelligence and Deep Learning
Author-email: ajaysubramanian110@gmail.com
License: MIT
Project-URL: Source, https://github.com/SforAiDl/JigglypuffRL
Keywords: reinforcement learning,pytorch,neuroscience,machine learning
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# JigglypuffRL

## Installation
We suggest creating a conda virtual environment before installing our package.
```
conda create -n JgRL_env python=3.6 pip
conda activate JgRL_env
pip install jigglypuff-rl
```

## Usage
```python
from jigglypuffRL import PPO1
import gym

env = gym.make('CartPole-v0')
agent = PPO1('MlpPolicy', 'MlpValue', env, epochs=500, tensorboard_log='./runs/')

agent.learn()
```

