8 citations · 20 across the 5 of their papers we have counts for
6 papers
Model Repair Revamped: On the Automated Synthesis of Markov Chains
Milan Ceska, Christian Dehnert, Nils Jansen +2
This paper outlines two approaches|based on counterexample-guided abstraction refinement (CEGAR) and counterexample-guided inductive synthesis (CEGIS), respectively to the automate…
A storm is Coming: A Modern Probabilistic Model Checker
Christian Dehnert, Sebastian Junges, Joost-Pieter Katoen +1
We launch the new probabilistic model checker storm. It features the analysis of discrete- and continuous-time variants of both Markov chains and MDPs. It supports the PRISM and JA…
The Probabilistic Model Checker Storm (Extended Abstract)
Christian Dehnert, Sebastian Junges, Joost-Pieter Katoen +1
We present a new probabilistic model checker Storm. Using state-of-the-art libraries, we aim for both high performance and versatility. This extended abstract gives a brief overvie…
Bounded Model Checking for Probabilistic Programs
Nils Jansen, Christian Dehnert, Benjamin Lucien Kaminski +2
In this paper we investigate the applicability of standard model checking approaches to verifying properties in probabilistic programming. As the operational model for a standard p…
Parameter Synthesis for Markov Models: Faster Than Ever
Tim Quatmann, Christian Dehnert, Nils Jansen +2
We propose a simple technique for verifying probabilistic models whose transition probabilities are parametric. The key is to replace parametric transitions by nondeterministic cho…
Safety-Constrained Reinforcement Learning for MDPs
Sebastian Junges, Nils Jansen, Christian Dehnert +2
We consider controller synthesis for stochastic and partially unknown environments in which safety is essential. Specifically, we abstract the problem as a Markov decision process…