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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| 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 |