Reinforcement Learning: A Survey

Article Properties
Abstract
Cite
Kaelbling, L. P., et al. “Reinforcement Learning: A Survey”. Journal of Artificial Intelligence Research, vol. 4, 1996, pp. 237-85, https://doi.org/10.1613/jair.301.
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996). Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research, 4, 237-285. https://doi.org/10.1613/jair.301
Kaelbling, L. P., M. L. Littman, and A. W. Moore. “Reinforcement Learning: A Survey”. Journal of Artificial Intelligence Research 4 (1996): 237-85. https://doi.org/10.1613/jair.301.
Kaelbling LP, Littman ML, Moore AW. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996;4:237-85.
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  • Science: Physics
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 940 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled From conventional control to autonomous intelligent methods and was published in 1996. The most recent citation comes from a 2024 study titled Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics. This article reached its peak citation in 2023, with 310 citations. It has been cited in 955 different journals, 18% of which are open access. Among related journals, the IEEE Access cited this research the most, with 99 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year