--- title: "hill-a/stable-baselines: papers citing it" description: "12 papers in the tracked journals link to the GitHub repository hill-a/stable-baselines in their Crossref records, the first in 2020; most of them (4) in 2021." url: https://scholar4ai.com/code/github-hill-a-stable-baselines markdown_url: https://scholar4ai.com/code/github-hill-a-stable-baselines.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "12 papers in the tracked journals link to the GitHub repository hill-a/stable-baselines in their Crossref records, the first in 2020; most of them (4) in 2021. (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) --- # hill-a/stable-baselines: papers linking to it Research papers in the 480 tracked journals that link to hill-a/stable-baselines (https://github.com/hill-a/stable-baselines), 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 - 4,326 stars - 720 forks - Python - license MIT - created 2018 - fork of openai/baselines - https://github.com/hill-a/stable-baselines All repositories: https://scholar4ai.com/code.md ## Key findings - 12 papers in the tracked journals link to the GitHub repository hill-a/stable-baselines in their Crossref records, the first in 2020; most of them (4) in 2021. - By category: AI (8), Operations Research (3) and Information Systems (1); the journals with the most are Applied Intelligence (3), Machine Learning (2) and Nature Machine Intelligence (2). - It is a fork of openai/baselines, which other papers here link to as well. ## By year *Papers linking to hill-a/stable-baselines by publication year* | Year | Papers | |---|---:| | 2020 | 2 | | 2021 | 4 | | 2022 | 1 | | 2023 | 3 | | 2024 | 1 | | 2025 | 1 | ## Journals *Journals whose papers link to hill-a/stable-baselines most* | Journal | Papers | |---|---:| | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 3 | | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2 | | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2 | | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 | | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 | ## Related repositories *Linked repositories hill-a/stable-baselines derives from or that derive from it* | Repository | Relation | Papers | |---|---|---:| | [openai/baselines](https://scholar4ai.com/code/github-openai-baselines.md) | hill-a/stable-baselines is its fork | 10 | ## Papers *Papers linking to hill-a/stable-baselines, most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2020-11-16 | [Dynamic pricing and fleet management for electric autonomous mobility on demand systems](https://doi.org/10.1016/j.trc.2020.102829) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh | 101 | cites it | | 2023-01-25 | [Emergent behaviour and neural dynamics in artificial agents tracking odour plumes](https://doi.org/10.1038/s42256-022-00599-w) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao et al. | 61 | cites it | | 2021-05-06 | [Deep reinforcement learning for the optimal placement of cryptocurrency limit orders](https://doi.org/10.1016/j.ejor.2021.04.050) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Matthias Schnaubelt | 52 | cites it | | 2021-07-07 | [Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation](https://doi.org/10.1007/s10994-021-06006-6) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Srivatsan Krishnan, Behzad Boroujerdian, William Fu et al. | 50 | cites it | | 2020-09-07 | [Finding the ground state of spin Hamiltonians with reinforcement learning](https://doi.org/10.1038/s42256-020-0226-x) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Kyle Mills, Pooya Ronagh, Isaac Tamblyn | 31 | cites it | | 2021-05-13 | [Grounded action transformation for sim-to-real reinforcement learning](https://doi.org/10.1007/s10994-021-05982-z) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Josiah P. Hanna, Siddharth Desai, Haresh Karnan et al. | 29 | cites it | | 2024-01-01 | [Assessment of reinforcement learning algorithms for nuclear power plant fuel optimization](https://doi.org/10.1007/s10489-023-05013-5) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Paul Seurin, Koroush Shirvan | 25 | cites it | | 2023-11-27 | [Self-learning Agents for Recommerce Markets](https://doi.org/10.1007/s12599-023-00841-8) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer et al. | 10 | cites it | | 2021-09-24 | [Solving the mixed model sequencing problem with reinforcement learning and metaheuristics](https://doi.org/10.1016/j.cie.2021.107704) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Janis Brammer, Bernhard Lutz, Dirk Neumann | 8 | cites it | | 2022-05-19 | [Towards designing a generic and comprehensive deep reinforcement learning framework](https://doi.org/10.1007/s10489-022-03550-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ngoc Duy Nguyen, Thanh Thi Nguyen, Nhat Truong Pham et al. | 7 | cites it | | 2023-02-20 | [Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning](https://doi.org/10.1007/s10489-022-04328-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Alper Demіr | 4 | cites it | | 2025-12-27 | [Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observability](https://doi.org/10.1016/j.neunet.2025.108521) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Lingheng Meng, Rob Gorbet, Michael Burke et al. | 2 | 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). hill-a/stable-baselines: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-hill-a-stable-baselines ```bibtex @misc{scholar4ai-code-github-hill-a-stable-baselines, author = {{Scholar4AI}}, title = {hill-a/stable-baselines: papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/github-hill-a-stable-baselines}}, 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/).