StarCraft

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

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Simulators and benchmark suites for training and comparing reinforcement learning agents.

Names searched for: StarCraft

Key findings#

From Nov 2023 to Oct 2026, 116 archived papers mentioned StarCraft in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2023 (6).
No paper of the tracked journals mentioned StarCraft in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), StarCraft was mentioned in 141 papers in the tracked journals, most of them in AI (130), operations research (5) and economics (2).
43 of them were published in 2025, against 1 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (10), Nanyang Technological University (9) and Institute of Automation (8).
The journals publishing most of them were Neural Networks (18), IEEE Transactions on Neural Networks and Learning Systems (18) and Autonomous Agents and Multi-Agent Systems (12).
The most-cited of them is “A Comprehensive Survey of Continual Learning: Theory, Method and Application” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 1,114 citations.
Papers use StarCraft most often with Atari (Arcade Learning Environment) (15), MuJoCo (12) and ImageNet (9); 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)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	41	48	27	116

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	1	3	5	8	12	43	40	18
Operations Research	0	0	0	0	2	1	1	1
Economics	0	0	0	0	0	0	1	1
Information Systems	0	0	1	0	0	0	1	0
Marketing	0	0	0	0	0	1	0	0
Higher Education and Research	0	0	0	0	0	1	0	0
All categories	1	3	6	8	14	46	43	20

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Neural Networks	18
2	IEEE Transactions on Neural Networks and Learning Systems	18
3	Autonomous Agents and Multi-Agent Systems	12
4	IEEE Transactions on Pattern Analysis and Machine Intelligence	8
5	Machine Learning	8
6	Knowledge-Based Systems	8
7	Information Sciences	6
8	Neural Computing and Applications	5
9	Artificial Intelligence	4
10	Artificial Intelligence Review	4

Institutions with the most papers, since 2023
#	Institution	Papers
1	Chinese Academy of Sciences	10
2	Nanyang Technological University	9
3	Institute of Automation	8
4	Tianjin University	8
5	University of Electronic Science and Technology of China	8
6	Tsinghua University	6
7	University of Chinese Academy of Sciences	6
8	Hong Kong University of Science and Technology	5
9	King's College London	4
10	Nanjing University	4

Countries with the most papers, since 2023
#	Country	Papers
1	China	72
2	United Kingdom	15
3	Singapore	11
4	Hong Kong	10
5	United States	9
6	Australia	7
7	Canada	7
8	Germany	7
9	Netherlands	7
10	Italy	4

Keywords with the most papers, since 2023
#	Keyword	Papers
1	multi-agent reinforcement learning	54
2	StarCraft II	19
3	StarCraft Multi-Agent Challenge	18
4	sample efficiency	11
5	StarCraft II micromanagement	10
6	centralized training decentralized execution	10
7	reinforcement learning	10
8	Google Research Football	9
9	deep reinforcement learning	8
10	large language models	8

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	1,114	34.5	A Comprehensive Survey of Continual Learning: Theory, Method and Application	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-02-26	Liyuan Wang, Xingxing Zhang, Hang Su et al.
2	176	7.5	Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods	IEEE Transactions on Neural Networks and Learning Systems	2024-11-25	Yuji Cao, Huan Qi Zhao, Yuheng Cheng et al.
3	164	4.8	A survey of multi-agent deep reinforcement learning with communication	Autonomous Agents and Multi-Agent Systems	2024-01-06	Changxi Zhu, Mehdi M. Dastani, Shihan Wang
4	110	3.6	A survey on interpretable reinforcement learning	Machine Learning	2024-04-19	Claire Glanois, Paul Weng, Matthieu Zimmer et al.
5	91	3.8	A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-11-14	Zhenyi Wang, Enneng Yang, Li Shen et al.

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 StarCraft most often with Atari (Arcade Learning Environment) (15), MuJoCo (12) and ImageNet (9); 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 StarCraft together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
Atari (Arcade Learning Environment)	Dataset	15	39.5
MuJoCo	Dataset	12	26.9
ImageNet	Dataset	9	1.3
OpenAI Gym / Gymnasium	Dataset	8	21.7
D4RL	Dataset	7	42.9
Twitter / X	Dataset	5	0.4
CIFAR-10 / CIFAR-100	Dataset	4	1.0
AG News / 20 Newsgroups	Dataset	3	5.2
MNIST / Fashion-MNIST	Dataset	3	0.9
Russell 1000 / 2000 / 3000	Dataset	3	9.7
TIMSS / PIRLS	Dataset	3	6.7

Cite this page

Scholar4AI. (2026). StarCraft. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/starcraft

@misc{scholar4ai-datasets-starcraft,
  author = {{Scholar4AI}},
  title = {StarCraft},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/starcraft}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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