Kniha Decision Making Under Uncertainty and Reinforcement Learning Christos Dimitrakakis

Decision Making Under Uncertainty and Reinforcement Learning

Theory and Algorithms

Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-18 dní
155.31
This book presents recent research in decision making under uncertainty, in particular reinforcement...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2022
Stránok
243
EAN
9783031076121
Enbook ID
39193356
Vydavateľ
Hmotnosť
539
Rozmery
155 x 235 x 20

Kompletný 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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