Model-based Reinforcement Learning: A Survey

Article Properties
Cite
Moerland, Thomas M., et al. “Model-Based Reinforcement Learning: A Survey”. Foundations and Trends® in Machine Learning, vol. 16, no. 1, 2023, pp. 1-118, https://doi.org/10.1561/2200000086.
Moerland, T. M., Broekens, J., Plaat, A., & Jonker, C. M. (2023). Model-based Reinforcement Learning: A Survey. Foundations and Trends® in Machine Learning, 16(1), 1-118. https://doi.org/10.1561/2200000086
Moerland, Thomas M., Joost Broekens, Aske Plaat, and Catholijn M. Jonker. “Model-Based Reinforcement Learning: A Survey”. Foundations and Trends® in Machine Learning 16, no. 1 (2023): 1-118. https://doi.org/10.1561/2200000086.
Moerland TM, Broekens J, Plaat A, Jonker CM. Model-based Reinforcement Learning: A Survey. Foundations and Trends® in Machine Learning. 2023;16(1):1-118.
Journal Category
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Citations
Title Journal Journal Categories Citations Publication Date
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding

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Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance International Journal of Machine Learning and Cybernetics
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Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives Annual Reviews in Control
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
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Fuzzy-based predictive deep reinforcement learning for robust and constrained optimal control of industrial solar thermal plants Applied Soft Computing
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Surrogate-assisted Monte Carlo Tree Search for real-time video games Engineering Applications of Artificial Intelligence
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2024
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics31
Science: Mathematics: Instruments and machines: Electronic computers. Computer science26
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks24
Technology: Engineering (General). Civil engineering (General)23
Technology: Mechanical engineering and machinery19
Science: Science (General): Cybernetics: Information theory17
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication12
Technology: Electrical engineering. Electronics. Nuclear engineering10
Science: Physics6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software6
Science: Chemistry5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware5
Science: Biology (General)4
Technology: Technology (General): Industrial engineering. Management engineering4
Technology: Technology (General): Industrial engineering. Management engineering: Information technology4
Science: Chemistry: General. Including alchemy3
Technology: Chemical technology3
Technology: Manufactures: Production management. Operations management3
Technology: Engineering (General). Civil engineering (General): Transportation engineering3
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials2
Science: Mathematics: Instruments and machines2
Technology2
Science: Mathematics2
Medicine: Medicine (General): Computer applications to medicine. Medical informatics2
Science: Chemistry: Analytical chemistry1
Technology: Environmental technology. Sanitary engineering1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology: Building construction: Architectural engineering. Structural engineering of buildings1
Technology: Engineering (General). Civil engineering (General): Environmental engineering1
Science: Science (General)1
Science: Chemistry: Organic chemistry: Biochemistry1
Science: Geology1
Science: Physics: Meteorology. Climatology1
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)1
Technology: Chemical technology: Chemical engineering1
Technology: Chemical technology: Biotechnology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power1
Medicine: Public aspects of medicine1
Medicine: Medicine (General): Medical technology1
Social Sciences: Transportation and communications1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 31 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning and was published in 2022. The most recent citation comes from a 2024 study titled TPN:Triple network algorithm for deep reinforcement learning. This article reached its peak citation in 2023, with 38 citations. It has been cited in 48 different journals, 25% of which are open access. Among related journals, the IEEE Access cited this research the most, with 10 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year