deepair 0.1

PyTorch implementations of Deep reinforcement learning algorithms.

Deepair is a Deep Reinforcement Learning library

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/

Installation

pip install deepair

or

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

Example

Implemented Algorithms

Tutorial

How To Contribute