BOOK
Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions
This book introduces decision theory with a focus on dynamic programming and sequential decision-making under uncertainty. It provides a clear, intuitive treatment of the mathematics behind making optimal decisions over time, covering topics such as Markov decision processes, Bellman equations, and applications in operations research, economics, and statistics. Aimed at students and practitioners with a background in probability and linear algebra, it offers a balance of theory, algorithmic strategies, and real-world examples.
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