Reinforcement Learning for Data Science

Jonatan Barkan, Michal Moran and Goren Gordon ()
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Jonatan Barkan: Tel-Aviv University, Curiosity Lab, Department of Industrial Engineering
Michal Moran: Tel-Aviv University, Curiosity Lab, Department of Industrial Engineering
Goren Gordon: Tel-Aviv University, Curiosity Lab, Department of Industrial Engineering

A chapter in Machine Learning for Data Science Handbook, 2023, pp 537-557 from Springer

Abstract: Abstract In the realm of data science, where big data abound, most machine learning methods fall into one of the two categories: supervised learning in which labeled data exist, i.e., for each input in the dataset there is a known output; unsupervised learning in which no label exists and patterns in the data are sought after.

Date: 2023
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DOI: 10.1007/978-3-031-24628-9_24

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