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Buffet, Olivier

Markov Decision Processes in Artificial Intelligence

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

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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.

Avainsanat: 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

Toimittaja
 
Julkaisija
John Wiley and Sons, Inc.
Julkaisuvuosi
2010
Kieli
en
Painos
1
Sarja
ISTE
Sivumäärä
480 sivua
Kategoria
Tekniikka, energia, liikenne
Tiedostomuoto
E-kirja
eISBN (ePUB)
9781118620106
Painetun ISBN
9781848211674

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