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

Gymnasium: A Standard Interface for Reinforcement Learning Environments: papers linking to it

Zenodo · Software · 2026 · archives github.com/farama-foundation/gymnasium · doi.org/10.5281/zenodo.8127025

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Gymnasium: A Standard Interface for Reinforcement Learning Environments (https://doi.org/10.5281/zenodo.8127025), 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#

  • 5 papers in the tracked journals link to the Zenodo dataset Gymnasium: A Standard Interface for Reinforcement Learning Environments in their Crossref records, the first in 2024; most of them (2) in 2026.
  • By category: AI (4) and Operations Research (1); the journals with the most are European Journal of Operational Research (1), Autonomous Agents and Multi-Agent Systems (1) and Neural Networks (1).
  • It is a Zenodo archive of Farama-Foundation/Gymnasium, which other papers here link to as well.

By year#

2024: 1 paper2025: 2 papers2026: 2 papers
20242026
Papers linking to Gymnasium: A Standard Interface for Reinforcement Learning Environments by publication year
YearPapers
20241
20252
20262

Journals#

Journals whose papers link to Gymnasium: A Standard Interface for Reinforcement Learning Environments most
JournalPapers
European Journal of Operational Research1
Autonomous Agents and Multi-Agent Systems1
Neural Networks1
Neural Computing and Applications1
Machine Learning1
Linked repositories Gymnasium: A Standard Interface for Reinforcement Learning Environments derives from or that derive from it
RepositoryRelationPapers
Farama-Foundation/GymnasiumGymnasium: A Standard Interface for Reinforcement Learning Environments is its Zenodo archive2
Papers linking to Gymnasium: A Standard Interface for Reinforcement Learning Environments, most cited first
PublishedTitleJournalAuthorsCitationsLink
2025-11-25Interpretable Deep Reinforcement Learning Via Concept-Based Policy DistillationMachine LearningYanzhe Bekkemoen, Helge Langseth A5cites it
2026-03-04Generalized policy improvement for efficient and robust multi-objective reinforcement learningAutonomous Agents and Multi-Agent SystemsLucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers et al.4cites it
2024-12-11Discriminative reward co-trainingNeural Computing and ApplicationsPhilipp J. Altmann, Fabian Ritz, Maximilian Zorn et al.2cites 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
2026-01-14Study of electric vehicle charging scheduling with renewable energy: Offline and stochastic online optimizationEuropean Journal of Operational ResearchRémi Gauchotte, Ammar Oulamara, Mounir Ghogho 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). Gymnasium: A Standard Interface for Reinforcement Learning Environments: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-8127025

@misc{scholar4ai-code-zenodo-8127025,
  author = {{Scholar4AI}},
  title = {Gymnasium: A Standard Interface for Reinforcement Learning Environments: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-8127025}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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