Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

hill-a/stable-baselines: papers linking to it

GitHub · 4,326 stars · 720 forks · Python · license MIT · created 2018 · fork of openai/baselines · github.com/hill-a/stable-baselines

← Code and data repositories cited in research papers

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.

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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#

2020: 2 papers2021: 4 papers2022: 1 paper2023: 3 papers2024: 1 paper2025: 1 paper
20202025
Papers linking to hill-a/stable-baselines by publication year
YearPapers
20202
20214
20221
20233
20241
20251

Journals#

Journals whose papers link to hill-a/stable-baselines most
JournalPapers
Applied Intelligence3
Machine Learning2
Nature Machine Intelligence2
Business & Information Systems Engineering1
European Journal of Operational Research1
Linked repositories hill-a/stable-baselines derives from or that derive from it
RepositoryRelationPapers
openai/baselineshill-a/stable-baselines is its fork10
Papers linking to hill-a/stable-baselines, most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-11-16Dynamic pricing and fleet management for electric autonomous mobility on demand systemsTransportation Research Part C Emerging TechnologiesBerkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh101cites it
2023-01-25Emergent behaviour and neural dynamics in artificial agents tracking odour plumesNature Machine IntelligenceSatpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao et al.61cites it
2021-05-06Deep reinforcement learning for the optimal placement of cryptocurrency limit ordersEuropean Journal of Operational ResearchMatthias Schnaubelt52cites it
2021-07-07Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigationMachine LearningSrivatsan Krishnan, Behzad Boroujerdian, William Fu et al.50cites it
2020-09-07Finding the ground state of spin Hamiltonians with reinforcement learningNature Machine IntelligenceKyle Mills, Pooya Ronagh, Isaac Tamblyn31cites it
2021-05-13Grounded action transformation for sim-to-real reinforcement learningMachine LearningJosiah P. Hanna, Siddharth Desai, Haresh Karnan et al.29cites it
2024-01-01Assessment of reinforcement learning algorithms for nuclear power plant fuel optimizationApplied IntelligencePaul Seurin, Koroush Shirvan25cites it
2023-11-27Self-learning Agents for Recommerce MarketsBusiness & Information Systems EngineeringJan Groeneveld, Judith Herrmann, Nikkel Mollenhauer et al.10cites it
2021-09-24Solving the mixed model sequencing problem with reinforcement learning and metaheuristicsComputers & Industrial EngineeringJanis Brammer, Bernhard Lutz, Dirk Neumann8cites it
2022-05-19Towards designing a generic and comprehensive deep reinforcement learning frameworkApplied IntelligenceNgoc Duy Nguyen, Thanh Thi Nguyen, Nhat Truong Pham et al.7cites it
2023-02-20Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learningApplied IntelligenceAlper Demіr4cites it
2025-12-27Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observabilityNeural NetworksLingheng Meng, Rob Gorbet, Michael Burke et al.2cites 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

@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}
}

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