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

Papers on “deep reinforcement learning”

Research on “deep reinforcement learning” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.

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← Top research keywords · Keyword trends

Key findings#

  • From 2017 to 2026 (so far), the keyword “deep reinforcement learning” appeared in 1,255 papers in the tracked journals, most of them in AI (886), operations research (305) and finance (24).
  • 283 of them were published in 2025, against 6 in 2017.
  • Since 2023, the institutions with the most of these papers were Tsinghua University (32), Beihang University (20) and Beijing Jiaotong University (20).
  • The journals publishing most of them were Expert Systems with Applications (199), Computers & Industrial Engineering (73) and Applied Intelligence (64).
  • The most-cited of them is “Deep Reinforcement Learning: A Survey” (IEEE Transactions on Neural Networks and Learning Systems, 2022), with 973 citations.

Papers per year#

2017: 6 papers2018: 10 papers2019: 28 papers2020: 53 papers2021: 106 papers2022: 148 papers2023: 180 papers2024: 227 papers2025: 283 papers2026 (so far): 214 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI69244577121136157178133
Operations Research0136232238588668
Finance0001301568
Information Systems0011141460
Economics0000112244
Management0000102001
Higher Education and Research0000000020
Tourism and Hospitality0000000100
Statistics0000000010
All categories6102853106148180227283214

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China584
2United States98
3United Kingdom45
4Hong Kong37
5Netherlands37
6Singapore35
7Canada33
8Australia32
9India29
10South Korea29
Keywords with the most papers, since 2023
#KeywordPapers
1Markov decision process101
2proximal policy optimization89
3reward function design67
4deep Q-network61
5graph neural networks36
6double deep Q-network35
7soft actor-critic35
8multi-objective optimization33
9deep deterministic policy gradient31

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
197319.8Deep Reinforcement Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems2022-09-28Xu Wang, Sen Wang, Xingxing Liang et al.
296014.4Multi-agent deep reinforcement learning: a surveyArtificial Intelligence Review2021-04-15Sven Gronauer, Klaus J. Diepold
386121.5Transfer Learning in Deep Reinforcement Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2023-07-04Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain et al.
48468.1Applications of Deep Learning and Reinforcement Learning to Biological DataIEEE Transactions on Neural Networks and Learning Systems2018-01-31Mufti Mahmud, M. Shamim Kaiser, Amir Hussain et al.
579412.4Artificial intelligence in the creative industries: a reviewArtificial Intelligence Review2021-07-01Nantheera Anantrasirichai, David Bull

Research ideas that follow this keyword#

Cite this page

Scholar4AI. (2026). Papers on “deep reinforcement learning”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/deep-reinforcement-learning

@misc{scholar4ai-keywords-deep-reinforcement-learning,
  author = {{Scholar4AI}},
  title = {Papers on “deep reinforcement learning”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/deep-reinforcement-learning}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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