£114.83

Springer Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms: 223 (Intelligent Systems Reference Library, 223)

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£114.83 £88.24 £94.04 £99.84 £105.65 £111.45 £117.25 25 January 2026 28 January 2026 31 January 2026 03 February 2026 07 February 2026

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Description

This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
03 December 2022
Listed Since
27 April 2022

Barcode

No barcode data available

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