docs: add zenodo reference information

.zenodo.json

@@ -0,0 +1,41 @@
+{
+    "description": "A framework for training theoretically stable (and robust) Reinforcement Learning control algorithms.",
+    "license": "MIT",
+    "title": "rickstaa/stable-learning-control",
+    "upload_type": "software",
+    "keywords": [
+        "reinforcement-learning",
+        "control",
+        "stability",
+        "robustness",
+        "simulation",
+        "openai-gym",
+        "gymnasium",
+        "artificial-intelligence",
+        "deep-learning",
+        "neural-networks",
+        "machine-learning",
+        "framework",
+        "gaussian-networks"
+    ],
+    "creators": [
+        {
+            "orcid": "0000-0003-4835-2040",
+            "affiliation": "TU Delft",
+            "name": "Rick Staa"
+        },
+        {
+            "orcid": "0000-0003-1121-9879",
+            "affiliation": "The University of Manchester",
+            "name": "Wei Pan"
+        },
+        {
+            "name": "dds0117"
+        },
+        {
+            "affiliation": "@mend",
+            "name": "Mend Renovate"
+        }
+    ],
+    "access_right": "open"
+}

CITATION.cff

@@ -0,0 +1,39 @@
+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+cff-version: 1.2.0
+title: rickstaa/stable-learning-control
+message: >-
+  If you want to cite this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Rick
+    family-names: Staa
+    affiliation: TU Delft
+    orcid: 'https://orcid.org/0000-0003-4835-2040'
+  - given-names: Wei
+    family-names: Pan
+    affiliation: The University of Manchester
+    orcid: 'https://orcid.org/0000-0003-1121-9879'
+identifiers:
+  - type: url
+    value: 'https://zenodo.org/badge/latestdoi/271989240'
+repository-code: 'https://github.com/rickstaa/stable-learning-control'
+abstract: >-
+  A framework for training theoretically stable (and robust)
+  Reinforcement Learning control algorithms.
+keywords:
+  - reinforcement-learning
+  - control
+  - stability
+  - robustness
+  - simulation
+  - openai-gym
+  - gymnasium
+  - artificial-intelligence
+  - deep-learning
+  - neural-networks
+  - machine-learning
+  - framework
+  - gaussian-networks
+license: MIT

README.md

@@ -5,6 +5,7 @@
 [![Python 3](https://img.shields.io/badge/Python->=3.8-brightgreen)](https://www.python.org/)
 [![codecov](https://codecov.io/gh/rickstaa/stable-learning-control/branch/main/graph/badge.svg?token=4SAME74CJ7)](https://codecov.io/gh/rickstaa/stable-learning-control)
 [![Contributions](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CONTRIBUTING.md)
+[![DOI](https://zenodo.org/badge/271989240.svg)](https://zenodo.org/badge/latestdoi/271989240)
 
 ## Package Overview