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Markov decision processes in artificial intelligence
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...
Autores principales: | Sigaud, Olivier, Buffet, Olivier |
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Lenguaje: | eng |
Publicado: |
Wiley-ISTE
2013
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1617136 |
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