Probabilistic modeling of dynamic systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10190768" target="_blank" >RIV/00216208:11320/13:10190768 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Probabilistic modeling of dynamic systems
Original language description
This article briefly introduces selected probabilistic approaches to search optimal behaviour of an agent in dynamic systems. It describes two possible extensions of Markov decision processes (MDP) which are the standard for probabilistic planning. Our uncertainty about transition probabilities is described by Markov decision processes with imprecise probabilities (MDP-IP). Missing information about actual state can be handled by Partially observable Markov decision processes (POMDP). This article compares both approaches and discusses their possible combination.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ITAT 2013: Information Technologies-Applications and Theory Workshops, Posters, and Tutorials
ISBN
978-1-4909-5208-6
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
111-117
Publisher name
CreateSpace Independent Publishing Platform
Place of publication
Košice
Event location
Donovaly, Slovakia
Event date
Sep 11, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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