Decision Making Under Uncertainty and Reinforcement Learning

Name: Decision Making Under Uncertainty and Reinforcement Learning
Brand: Springer, Berlin
SKU: 9783031076121
Price: 3565 CZK
Availability: InStock

Theory and Algorithms

Autor: Christos Dimitrakakis, Ronald Ortner

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This book presents recent research in decision making under uncertainty, in particular reinforcement...

Informace o knize

Autor

Christos Dimitrakakis, Ronald Ortner

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2022

Stránek

243

EAN

9783031076121

Enbook ID

39193356

Vydavatel

Springer, Berlin

Hmotnost

539

Rozměry

155 x 235 x 20

Kompletní popis

This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.

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Decision Making Under Uncertainty and Reinforcement Learning

Theory and Algorithms

Informace o knize

Kompletní popis

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