Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

MuJoCo

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data category: Reinforcement learning environments · 0 papers in the last 7 days

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Names searched for: MuJoCo

Key findings#

  • From Nov 2023 to Oct 2026, 110 archived papers mentioned MuJoCo in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2026 (10).
  • No paper of the tracked journals mentioned MuJoCo in the last 30 days (2026-10-06 to 2026-11-04).
  • From 2017 to 2026 (so far), MuJoCo was mentioned in 150 papers in the tracked journals, most of them in AI (147), operations research (2) and information systems (1).
  • 37 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (10), Tsinghua University (10) and Jilin University (7).
  • The journals publishing most of them were IEEE Transactions on Neural Networks and Learning Systems (32), Artificial Intelligence Review (9) and Machine Learning (9).
  • The most-cited of them is “End-to-End Autonomous Driving: Challenges and Frontiers” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 637 citations.
  • Papers use MuJoCo most often with OpenAI Gym / Gymnasium (32), Atari (Arcade Learning Environment) (28) and D4RL (18); it has 11 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
313940110

Papers per year#

2017: 0 papers2018: 0 papers2019: 2 papers2020: 1 paper2021: 13 papers2022: 12 papers2023: 18 papers2024: 34 papers2025: 37 papers2026 (so far): 33 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0021131218343730
Operations Research0000000002
Information Systems0000000001
All categories0021131218343733

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China67
2United States21
3Italy8
4United Kingdom7
5Australia6
6South Korea6
7Canada5
8Netherlands5
9Singapore5
10United Arab Emirates3
Keywords with the most papers, since 2023
#KeywordPapers
1MuJoCo22
2offline reinforcement learning15
3continuous control14
4sample efficiency14
5reinforcement learning12
6deep reinforcement learning10
7exploration10
8distribution shift9
9convergence analysis6
10off-policy learning6

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use MuJoCo most often with OpenAI Gym / Gymnasium (32), Atari (Arcade Learning Environment) (28) and D4RL (18); it has 11 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use MuJoCo together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
OpenAI Gym / GymnasiumDataset3282.3
Atari (Arcade Learning Environment)Dataset2869.8
D4RLDataset18104.4
DeepMind Control SuiteDataset13129.6
StarCraftDataset1226.9
ImageNetDataset101.4
MNIST / Fashion-MNISTDataset61.7
nuScenes / Waymo Open / ArgoverseDataset66.5
CIFAR-10 / CIFAR-100Dataset40.9
KITTIDataset42.8
CityscapesDataset33.2
Cite this page

Scholar4AI. (2026). MuJoCo. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/mujoco

@misc{scholar4ai-datasets-mujoco,
  author = {{Scholar4AI}},
  title = {MuJoCo},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/mujoco}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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