|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9911019406003321 |
|
|
Titolo |
Markov decision processes in artificial intelligence : MDPs, beyond MDPs and applications / / edited by Olivier Sigaud, Olivier Buffet |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
London, : ISTE |
|
Hoboken, N.J. : Wiley, 2010 |
|
|
|
|
|
|
|
|
|
ISBN |
|
9781118620106 |
1118620100 |
9781118557426 |
1118557425 |
9781299315471 |
129931547X |
9781118619872 |
1118619870 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (457 pages) |
|
|
|
|
|
|
Altri autori (Persone) |
|
SigaudOlivier |
BuffetOlivier |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Artificial intelligence - Mathematics |
Artificial intelligence - Statistical methods |
Markov processes |
Statistical decision |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
First published 2008 in France by Hermes Science/Lavoisier in two volumes entitled: Processus decisionnels de Markov en intelligence artificielle. |
|
|
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
pt. 1. MDPs : models and methods -- pt. 2. Beyond MDPs -- pt. 3. Applications. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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 |
|
|
|
|