---
title: "DLR-RM/stable-baselines3: papers citing it"
description: "5 papers in the tracked journals link to the GitHub repository DLR-RM/stable-baselines3 in their Crossref records, the first in 2022; most of them (2) in 2022."
url: https://scholar4ai.com/code/github-dlr-rm-stable-baselines3
markdown_url: https://scholar4ai.com/code/github-dlr-rm-stable-baselines3.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to the GitHub repository DLR-RM/stable-baselines3 in their Crossref records, the first in 2022; most of them (2) in 2022. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# DLR-RM/stable-baselines3: papers linking to it

Research papers in the 480 tracked journals that link to DLR-RM/stable-baselines3 (https://github.com/DLR-RM/stable-baselines3), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 13,957 stars
- 2,179 forks
- Python
- license MIT
- created 2020
- https://github.com/DLR-RM/stable-baselines3

All repositories: https://scholar4ai.com/code.md

## Key findings

- 5 papers in the tracked journals link to the GitHub repository DLR-RM/stable-baselines3 in their Crossref records, the first in 2022; most of them (2) in 2022.
- By category: AI (2), Operations Research (1) and Economics (1); the journals with the most are Operations Research Forum (1), Neural Computing and Applications (1) and Artificial Intelligence Review (1).

## By year

*Papers linking to DLR-RM/stable-baselines3 by publication year*

| Year | Papers |
|---|---:|
| 2022 | 2 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to DLR-RM/stable-baselines3 most*

| Journal | Papers |
|---|---:|
| [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |

## Papers

*Papers linking to DLR-RM/stable-baselines3, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-07-02 | [A survey on deep reinforcement learning for audio-based applications](https://doi.org/10.1007/s10462-022-10224-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez et al. | 106 | cites it |
| 2022-07-27 | [To learn or not to learn? Evaluating autonomous, adaptive, automated traders in cryptocurrencies financial bubbles](https://doi.org/10.1007/s00521-022-07543-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Alfonso Guarino, Luca Grilli, Domenico Santoro et al. | 21 | cites it |
| 2024-03-05 | [gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems](https://doi.org/10.1007/s43069-024-00301-3) | [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | Benjamin Heinbach, Peter Burggräf, Johannes Wagner | 19 | cites it |
| 2025-10-15 | [Deep Reinforcement Learning for Long-Short Portfolio Optimization](https://doi.org/10.1007/s10614-025-11143-4) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Gang Huang, Xiaohua Zhou, Qingyang Song | 2 | cites it |
| 2023-11-03 | [Likelihood-free inference in state-space models with unknown dynamics](https://doi.org/10.1007/s11222-023-10339-8) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Alexander Aushev, Thong Anh Tran, Henri Pesonen et al. | 1 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). DLR-RM/stable-baselines3: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-dlr-rm-stable-baselines3

```bibtex
@misc{scholar4ai-code-github-dlr-rm-stable-baselines3,
  author = {{Scholar4AI}},
  title = {DLR-RM/stable-baselines3: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-dlr-rm-stable-baselines3}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).