1 citations · 1 across the 15 of their papers we have counts for
9 papers · 1 filter
Certificates and Witnesses for Multi-objective ω-regular Queries in Markov Decision Processes
Christel Baier, Calvin Chau, Volodymyr Drobitko +2
Multi-objective probabilistic model checking is a powerful technique for verifying stochastic systems against multiple (potentially conflicting) properties. To enhance the trustwor…
Approximate Probabilistic Bisimulation for Continuous-Time Markov Chains
Timm Spork, Christel Baier, Joost-Pieter Katoen +2
We introduce -bisimulation, a novel type of approximate probabilistic bisimulation for continuous-time Markov chains. In contrast to related notions, $(\varepsilo…
Multiplicative Rewards in Markovian Models
Christel Baier, Krishnendu Chatterjee, Tobias Meggendorfer +1
This paper studies the expected value of multiplicative rewards, where rewards obtained in each step are multiplied (instead of the usual addition), in Markov chains (MCs) and Mark…
Model Checking Linear Temporal Logic with Standpoint Modalities
Rajab Aghamov, Christel Baier, Toghrul Karimov +4
Standpoint linear temporal logic () is a recently introduced extension of classical linear temporal logic () with standpoint modalities. Intuitively, these modalities al…
Formal Quality Measures for Predictors in Markov Decision Processes
Christel Baier, Sascha Klüppelholz, Jakob Piribauer +1
In adaptive systems, predictors are used to anticipate changes in the systems state or behavior that may require system adaption, e.g., changing its configuration or adjusting reso…
A Spectrum of Approximate Probabilistic Bisimulations
Timm Spork, Christel Baier, Joost-Pieter Katoen +2
This paper studies various notions of approximate probabilistic bisimulation on labeled Markov chains (LMCs). We introduce approximate versions of weak and branching bisimulation,…
Risk-averse optimization of total rewards in Markovian models using deviation measures
Christel Baier, Jakob Piribauer, Maximilian Starke
This paper addresses objectives tailored to the risk-averse optimization of accumulated rewards in Markov decision processes (MDPs). The studied objectives require maximizing the e…
Model Checking Markov Chains as Distribution Transformers
Rajab Aghamov, Christel Baier, Toghrul Karimov +4
The conventional perspective on Markov chains considers decision problems concerning the probabilities of temporal properties being satisfied by traces of visited states. However,…
Certificates and Witnesses for Multi-Objective Queries in Markov Decision Processes
Christel Baier, Calvin Chau, Sascha Klüppelholz
Certifying verification algorithms not only return whether a given property holds or not, but also provide an accompanying independently checkable certificate and a corresponding w…