Approximate bisimulation minimisation
We propose polynomial-time algorithms to minimise labelled Markov chains whose transition probabilities are not known exactly, have been perturbed, or can only be obtained by sampling. Our algorithms are based on a new notion of an approximate bisimulation quotient, obtained by lumping together stat...
| Главные авторы: | , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Schloss Dagstuhl
2021
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