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...
Główni autorzy: | Kiefer, S, Tang, Q |
---|---|
Format: | Conference item |
Język: | English |
Wydane: |
Schloss Dagstuhl
2021
|
Podobne zapisy
-
Approximating Bisimulation in One-counter Nets
od: V. A. Bashkin
Wydane: (2011-12-01) -
Compositionality of Approximate Bisimulation for Probabilistic Systems
od: Daniel Gebler, i wsp.
Wydane: (2013-07-01) -
Sound approximate and asymptotic probabilistic bisimulations for PCTL
od: Massimo Bartoletti, i wsp.
Wydane: (2023-03-01) -
Minimising the probabilistic bisimilarity distance
od: Kiefer, S, i wsp.
Wydane: (2024) -
Bisimulation learning
od: Abate, A, i wsp.
Wydane: (2024)