From c02eb5b016b611be1c6b42df6a6ab94ea23a2477 Mon Sep 17 00:00:00 2001 From: Maksymilian Wojnar Date: Wed, 10 Apr 2024 20:28:59 +0200 Subject: [PATCH] Add badge with DOI --- README.md | 1 + docs/source/index.rst | 3 +++ 2 files changed, 4 insertions(+) diff --git a/README.md b/README.md index 17a9812..7ec2b12 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ [![License: MPL 2.0][license-badge]][license] [![build and test][tests-badge]][github-actions] [![Documentation Status][rtd-badge]][documentation] +[![DOI](https://img.shields.io/badge/DOI-10.1016/j.softx.2024.101706-blue.svg)](https://doi.org/10.1016/j.softx.2024.101706) [pypi-badge]: https://img.shields.io/pypi/v/reinforced-lib [pypi]: https://pypi.org/project/reinforced-lib/ diff --git a/docs/source/index.rst b/docs/source/index.rst index 24d8503..3999432 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -15,6 +15,9 @@ Welcome to Reinforced-lib's documentation! .. image:: https://readthedocs.org/projects/reinforced-lib/badge/?version=latest :target: https://reinforced-lib.readthedocs.io/ +.. image:: https://img.shields.io/badge/DOI-10.1016/j.softx.2024.101706-blue.svg + :target: https://doi.org/10.1016/j.softx.2024.101706 + **Introducing Reinforced-lib:** a lightweight Python library for rapid development of reinforcement-learning (RL) solutions. It is open-source, prioritizes ease of use, provides comprehensive documentation, and offers both deep reinforcement learning (DRL) and classic non-neural agents. Built on `JAX `_, it facilitates exporting trained models to embedded devices, and makes it great for research and prototyping with RL algorithms. Access to JAX's JIT functionality ensure high-performance results. Key components