Editor: @ethanwhite (all papers)
Reviewers: @sconde (all reviews), @arokem (all reviews)
Ali Hassan Ali Abdelwanis (0009-0001-5853-5900), Barnabas Haucke-Korber (0000-0003-0862-2069), Darius Jakobeit (0009-0002-1576-2465), Wilhelm Kirchgässner (0000-0001-9490-1843), Marvin Meyer (0009-0008-2879-7118), Maximilian Schenke (0000-0001-5427-9527), Hendrik Vater (0009-0005-0654-8741), Oliver Wallscheid (0000-0001-9362-8777), Daniel Weber (0000-0003-3367-5998)
Abdelwanis et al., (2026). Reinforcement Learning: A Comprehensive Open-Source Course. Journal of Open Source Education, 9(97), 306, https://doi.org/10.21105/jose.00306
data science TensorFlow PyTorch Jupyter notebook reproducible workflow open science reinforcement learning exploratory data analysis machine learning supervised learning
Authors of JOSE papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Open Source Education is an affiliate of the Open Source Inititative.
Journal of Open Source Education is part of Open Journals, which is a NumFOCUS-sponsored project.
Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2577-3569