Reinforcement Learning Journal (RLJ)

The Reinforcement Learning Journal (RLJ) is a quarterly peer-reviewed publication focusing on reinforcement learning. RLJ is complemented by the Reinforcement Learning Conference (RLC), an associated event where researchers can present and elaborate on their findings that are published in RLJ. It is important to note that RLJ is an independent, peer-reviewed journal that serves as a primary source of scholarly articles, with the associated meeting, RLC, enhancing the reach and impact of the research published within the journal.

RLJ upholds the principles of open access, providing free online access to all its publications under the Creative Commons Attribution (CC BY) license. Authors retain copyright over their work, thus promoting the free exchange of ideas within the scientific community. For more information, see the RLJ Publication Agreement.

Submissions to RLJ are accepted on a rolling basis, publishing a new volume four times a year. Authors interested in contributing are encouraged to review the detailed submission guidelines—see Submissions for details.

Published papers are available under Papers, and the journal's editors are listed on the Editorial Board page.

ISSN 2996-8577 (Online)

ISSN 2996-8569 (Print)

2024, Volumes 1–5 DOI: 10.5281/zenodo.13899776

2025, Volume 6 DOI: 10.5281/zenodo.21537949