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1 libro encontrado buscando autor: Lucian Busoniu, Robert Babuska, Bart De Schutter and Damien Ernst

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Reinforcement Learning and Dynamic Programming Using Function Approximators

Editorial: CRC Press   Fecha de publicación:    Páginas: 280
Formato: Hardback 235 x 156 mm
Precio: 89,95
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While Dynamic Programming (DP) has helped solve control problems involving dynamic systems, its value was limited by algorithms that lacked practical scale-up capacity. In recent years, developments in Reinforcement Learning (RL), DP's model-free counterpart, has changed this. Focusing on continuous-variable problems, this unparalleled work provides an introduction to classical RL and DP, followed by a presentation of current methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, it offers illustrative examples that readers will be able to adapt to their own work.

Intelligent Systems
Systems & Controls
Machine Learning


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