Metadata-Version: 2.1
Name: deepair
Version: 0.1
Summary: PyTorch implementations of Deep reinforcement learning algorithms.
Home-page: https://github.com/sonnhfit/deepair
Author: Son Nguyen Huu
Author-email: sonnhfit@gmail.com
License: MIT
Keywords: reinforcement-learning-algorithms reinforcement-learning machine-learning deep rl
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7.*
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gym
Requires-Dist: numpy
Requires-Dist: torch (>=1.11)
Requires-Dist: cloudpickle
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: ipython
Requires-Dist: pylint
Requires-Dist: sphinx-material
Requires-Dist: numpydoc
Requires-Dist: nbsphinx
Requires-Dist: recommonmark
Requires-Dist: sphinx-markdown-tables
Requires-Dist: sphinx-copybutton
Requires-Dist: readthedocs-sphinx-search

# Deepair is a Deep Reinforcement Learning library

[![Documentation Status](https://readthedocs.org/projects/deepair/badge/?version=latest)](https://deepair.readthedocs.io/en/latest/?badge=latest)

Deepair implementations of reinforcement learning algorithms. It focus on DRL algorithms and implementing the latest advancements in DRL. Highly customizable support for training processes. Suitable for the research and application of the latest technologies in reinforcement learning.



# Features

# Documentation
Documentation is available: [https://deepair.readthedocs.io/](https://deepair.readthedocs.io/)

# Installation

```
pip install deepair
```

or
```
pip install git+https://github.com/sonnhfit/deepair.git
```

# Example

# Implemented Algorithms

# Tutorial

# How To Contribute
