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From Shortest Paths to Reinforcement Learning

A MATLAB-Based Tutorial on Dynamic Programming

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  • 220 páginas
  • 8 horas de lectura

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Focusing on the practical application of dynamic programming, this book bridges the gap between theoretical principles and software implementation using MATLAB. It offers a tutorial approach that introduces readers to the concepts and potential applications of DP, encouraging experimentation and hands-on experience. Aimed at practitioners and graduate students in various fields such as engineering, applied mathematics, management, finance, and economics, it requires only a basic understanding of probability and optimization.

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From Shortest Paths to Reinforcement Learning, Paolo Brandimarte

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Publicado en
2021
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