semvec/pypi-packages huggingface dataset:
jigglypuff-rl 0.0.2.dev2
PyTorch implementations of reinforcement learning algorithms.
License: MIT
Requires Python: >=3.6
Keywords: reinforcement learning,pytorch,neuroscience,machine learning

# JigglypuffRL
[![PyPI version fury.io](https://badge.fury.io/py/ansicolortags.svg)](https://pypi.org/project/jigglypuff-rl/) [![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.org/project/jigglypuff-rl/)

## 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()
```