Information Theoretic Principles for Agent Learning

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Information Theoretic Principles for Agent Learning is written by Jerry D. Gibson and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031653882 (ISBN 10) and 9783031653889 (ISBN 13).

This book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside of the standard results on communications and compression fundamental limits. Readers will benefit from the presentation of information theoretic quantities, definitions, and results that provide or could provide insights into data science and learning.