Scenario-Based Verification of Uncertain MDPs

We consider Markov decision processes (MDPs) in which the transition probabilities and rewards belong to an uncertainty set parametrized by a collection of random variables. The probability distributions for these random parameters are unknown. The problem is to compute the probability to satisfy a...

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Detalles Bibliográficos
Autores principales: Cubuktepe, Murat, Jansen, Nils, Junges, Sebastian, Katoen, Joost-Pieter, Topcu, Ufuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402411/
https://www.ncbi.nlm.nih.gov/pubmed/32754724
http://dx.doi.org/10.1007/978-3-030-45190-5_16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402411/
https://www.ncbi.nlm.nih.gov/pubmed/32754724
http://dx.doi.org/10.1007/978-3-030-45190-5_16

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