Markov decision processes in artificial intelligence : MDPs, beyond MDPs and applications /

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...

Ausführliche Beschreibung

Gespeichert in:
Weitere Titel:
Processus décisionnels de Markov en intelligence artificielle. English
Processus décisionnels de Markov en intelligence artificielle.
Hauptverfasser:
Sigaud, Olivier., Buffet, Olivier.
Weitere Verfasser:
Sigaud, Olivier, Buffet, Olivier
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
London : Hoboken, N.J. : Wiley, ISTE ; 2010.
Zusammenfassung:
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 illustr
Umfang:
1 online resource (457 pages)
text file
Anmerkungen:
First published 2008 in France by Hermes Science/Lavoisier in two volumes entitled: Processus decisionnels de Markov en intelligence artificielle.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references and index.
ISBN:
9781118620106
1118620100
9781118557426
1118557425
9781299315471
129931547X
9781118619872
1118619870
Schlagworte:
Artificial intelligence > Mathematics.
Artificial intelligence > Statistical methods.
Markov processes.
Statistical decision.
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