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.
1145773272
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.
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Information Theoretic Principles for Agent Learning
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Product Details
ISBN-13: | 9783031653872 |
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Publisher: | Springer Nature Switzerland |
Publication date: | 08/06/2024 |
Series: | Synthesis Lectures on Engineering, Science, and Technology |
Edition description: | 2025 |
Pages: | 95 |
Product dimensions: | 6.61(w) x 9.45(h) x (d) |
About the Author
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