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cs.LO2025
Expressivity of bisimulation pseudometrics over analytic state spaces
Daniel Luckhardt, Harsh Beohar, Clemens Kupke
A Markov decision process (MDP) is a state-based dynamical system capable of describing probabilistic behaviour with rewards. In this paper, we view MDPs as coalgebras living in th…
cs.LO2025
Constructing Witnesses for Lower Bounds on Behavioural Distances
Ruben Turkenburg, Harsh Beohar, Franck van Breugel +2
Behavioural distances provide a robust alternative to notions of equivalence such as bisimilarity in the context of probabilistic transition systems. They can be defined as least f…