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README.md

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 [![License: MPL 2.0][license-badge]][license]
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+[![DOI](https://img.shields.io/badge/DOI-10.1016/j.softx.2024.101706-blue.svg)](https://doi.org/10.1016/j.softx.2024.101706)
 
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docs/source/index.rst

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 **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 <https://jax.readthedocs.io/en/latest/>`_, 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.
 
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