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Readers who finished Reinforcement Learning, second edition An Introduction by Richard S. Sutton and wanted more will find 24 strong picks here, all connected by Neural Networks, Algorithms, Data Science, and Artificial Intelligence.
Titles selected for shared themes, overlapping readership, and similar literary appeal.
The 24 books on this list are tied together by themes of Neural Networks, Algorithms, Data Science — the same threads that run through Reinforcement Learning, second edition An Introduction by Richard S. Sutton. Among the authors featured: Pedro Domingos, Dinesh C. Verma, Jun Chen, Robert Hilderman, and others.