Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions
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Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions

by Warren B. Powell

Mathematics Computer Science operations research
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Warren B. Powell presents a unified framework for reinforcement learning and stochastic optimization, connecting both approaches through the common challenge of making sequential decisions. This focused book provides readers with a structured way to understand methods for analyzing and improving decisions over time.

About This Book

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions presents a unified perspective on two closely related approaches to sequential decision-making.

Warren B. Powell brings reinforcement learning and stochastic optimization together within a common framework.

The book is centered on sequential decisions and the methods used to analyze and improve them over time.

It offers a focused resource for readers seeking a structured understanding of these important areas.

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I will be using this book for: