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Jerry D. Gibson
Information Theoretic Principles for Agent Learning
Information Theoretic Principles for Agent Learning
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- More about Information Theoretic Principles for Agent Learning
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.
- Publication date: 7 August 2025
- Page count: 95
- Dimensions: Height 240 mm; Width 168 mm
- Publisher: Springer International Publishing AG
- Format: Paperback
- ISBN-13: 9783031653902
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