Metadata-Version: 2.1
Name: genrl
Version: 0.0.1
Summary: A PyTorch reinforcement learning library for generalizable and reproducible implementations.
Home-page: https://github.com/SforAiDl/genrl
Author: Society for Artificial Intelligence and Deep Learning
Author-email: ajaysubramanian110@gmail.com
License: MIT
Project-URL: Source, https://github.com/SforAiDl/genrl
Description: # GenRL
        [![pypi](https://img.shields.io/badge/pypi-jigglypuff--rl-blue)](https://pypi.org/project/genrl/)
        [![GitHub license](https://img.shields.io/github/license/SforAiDl/genrl)](https://github.com/SforAiDl/genrl/blob/master/LICENSE)
        [![Build Status](https://travis-ci.com/SforAiDl/genrl.svg?branch=master)](https://travis-ci.com/SforAiDl/genrl)
        [![Total alerts](https://img.shields.io/lgtm/alerts/g/SforAiDl/genrl.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/SforAiDl/genrl/alerts/)
        [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/SforAiDl/genrl.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/SforAiDl/genrl/context:python)
        [![codecov](https://codecov.io/gh/SforAiDl/genrl/branch/master/graph/badge.svg)](https://codecov.io/gh/SforAiDl/genrl)
        
        ## 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
        ```
        
        ### From Source (Recommended)
        ```
        git clone https://github.com/SforAiDl/genrl.git
        cd genrl
        pip install -r requirements.txt
        python setup.py install
        ```
        
        ### Using Pip
        ```
        pip install genrl # for most recent stable release
        pip install genrl==0.0.1dev2 # for most recent development release
        ```
        
        ## Usage
        ```python
        from genrl import PPO1
        import gym
        
        env = gym.make('CartPole-v0')
        agent = PPO1(network_type='mlp', env=env, epochs=500, render = True, tensorboard_log='./runs/')
        
        agent.learn()
        ```
        
Keywords: reinforcement learning,pytorch,machine learning,deep learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
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
