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Buffet, Olivier

Markov Decision Processes in Artificial Intelligence

Buffet, Olivier - Markov Decision Processes in Artificial Intelligence, e-bok

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Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.

Nyckelord: part; list; authors; decision processes; characterization; optimal; algorithms; reinforcement; garcia; olivier; view; global; monte; methods; carlo; temporal difference; difference methods; modelbased; model; dynamic, Applied Mathematics in Science, Probability & Mathematical Statistics, Applied Mathematics in Science, Probability & Mathematical Statistics

Utgivare
 
Utgivare
John Wiley and Sons, Inc.
Utgivningsår
2010
Språk
en
Utgåva
1
Serie
ISTE
Sidantal
480 sidor
Kategori
Teknologi, energi, trafik
Format
E-bok
eISBN (ePUB)
9781118620106
Tryckt ISBN
9781848211674

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