£100.68

Wiley Reinforcement Learning and Stochastic Optimization Book

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£100.68 £95.80 £96.86 £97.93 £98.99 £100.06 £101.12 22 February 2026 16 March 2026 07 April 2026 29 April 2026 21 May 2026

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Description

Navigate the complex world of sequential decision problems with this comprehensive guide from Wiley. Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions provides a clear path through the dense landscape of stochastic optimization. Sequential decision problems follow a repetitive cycle of decision and information, a pattern found in nearly every modern industry. This book addresses the challenges created by the diversity of these applications, which have historically been split across at least 15 different research fields using eight different notational systems. By providing a unified framework, this text helps bridge the gap between these scattered methodologies. This resource is designed for those working in fields where decision-making is constant, including business, finance, e-commerce, and energy. It also serves professionals and students in health sectors, the sciences, and all branches of engineering. Whether you are dealing with personal and public health decisions or complex engineering tasks, this book offers the mathematical clarity needed to master sequential decision-making processes.

Key Features

Provides a unified framework to simplify the complex field of stochastic optimization.

https://www.amazon.co.uk/dp/0582304067/ref=nosim?tag=tosheroon-21

Connects research from 15 distinct fields into a single, cohesive understanding.

Resolves inconsistencies caused by the use of eight different notational systems in current research.

Applicable to a wide range of sectors including finance, e-commerce, energy, and engineering.

Supports decision-making applications in health, science, and business environments.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
25 March 2022
Listed Since
05 October 2021

Barcode

No barcode data available

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