activity
20172020
most citedSimple Strategies in Multi-Objective MDPs (Technical Report)

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LO2020

Multi-objective Optimization of Long-run Average and Total Rewards

Tim Quatmann, Joost-Pieter Katoen

This paper presents an efficient procedure for multi-objective model checking of long-run average reward (aka: mean pay-off) and total reward objectives as well as their combinatio…

cs.AI2020

Verification of indefinite-horizon POMDPs

Alexander Bork, Sebastian Junges, Joost-Pieter Katoen +1

The verification problem in MDPs asks whether, for any policy resolving the nondeterminism, the probability that something bad happens is bounded by some given threshold. This veri…

cs.SE2020

The Probabilistic Model Checker Storm

Christian Hensel, Sebastian Junges, Joost-Pieter Katoen +2

We present the probabilistic model checker Storm. Storm supports the analysis of discrete- and continuous-time variants of both Markov chains and Markov decision processes. Storm h…

cs.LO20191 cited

Simple Strategies in Multi-Objective MDPs (Technical Report)

Florent Delgrange, Joost-Pieter Katoen, Tim Quatmann +1

We consider the verification of multiple expected reward objectives at once on Markov decision processes (MDPs). This enables a trade-off analysis among multiple objectives by obta…

cs.LO2018

Sound Value Iteration

Tim Quatmann, Joost-Pieter Katoen

Computing reachability probabilities is at the heart of probabilistic model checking. All model checkers compute these probabilities in an iterative fashion using value iteration.…

cs.LO2017

Markov Automata with Multiple Objectives

Tim Quatmann, Sebastian Junges, Joost-Pieter Katoen

Markov automata combine non-determinism, probabilistic branching, and exponentially distributed delays. This compositional variant of continuous-time Markov decision processes is u…