activity
20162024
most citedThe Probabilistic Model Checker Storm (Extended Abstract)

8 citations · 18 across the 11 of their papers we have counts for

collaborators

5 papers

cs.LO2023

Search and Explore: Symbiotic Policy Synthesis in POMDPs

Roman Andriushchenko, Alexander Bork, Milan Češka +3

This paper marries two state-of-the-art controller synthesis methods for partially observable Markov decision processes (POMDPs), a prominent model in sequential decision making un…

cs.LG2023

Efficient Sensitivity Analysis for Parametric Robust Markov Chains

Thom Badings, Sebastian Junges, Ahmadreza Marandi +2

We provide a novel method for sensitivity analysis of parametric robust Markov chains. These models incorporate parameters and sets of probability distributions to alleviate the of…

cs.LO2022

Parameter Synthesis in Markov Models: A Gentle Survey

Nils Jansen, Sebastian Junges, Joost-Pieter Katoen

This paper surveys the analysis of parametric Markov models whose transitions are labelled with functions over a finite set of parameters. These models are symbolic representations…

cs.AI20167 cited

Probabilistic Model Checking for Complex Cognitive Tasks -- A case study in human-robot interaction

Sebastian Junges, Nils Jansen, Joost-Pieter Katoen +1

This paper proposes to use probabilistic model checking to synthesize optimal robot policies in multi-tasking autonomous systems that are subject to human-robot interaction. Given…

cs.SE20168 cited

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…