JANI: quantitative model and tool interaction

CE Budde, C Dehnert, EM Hahn, A Hartmanns… - … 2017, Held as Part of the …, 2017 - Springer
The formal analysis of critical systems is supported by a vast space of modelling formalisms
and tools. The variety of incompatible formats and tools however poses a significant …

An ordered approach to solving parity games in quasi polynomial time and quasi linear space

J Fearnley, S Jain, S Schewe, F Stephan… - Proceedings of the 24th …, 2017 - dl.acm.org
Parity games play an important role in model checking and synthesis. In their paper, Calude
et al. have recently shown that these games can be solved in quasi-polynomial time. We …

The 2019 Comparison of Tools for the Analysis of Quantitative Formal Models: (QComp 2019 Competition Report)

EM Hahn, A Hartmanns, C Hensel, M Klauck… - … Conference on Tools …, 2019 - Springer
Quantitative formal models capture probabilistic behaviour, real-time aspects, or general
continuous dynamics. A number of tools support their automatic analysis with respect to …

On correctness, precision, and performance in quantitative verification: QComp 2020 competition report

CE Budde, A Hartmanns, M Klauck, J Křetínský… - … applications of formal …, 2020 - Springer
Quantitative verification tools compute probabilities, expected rewards, or steady-state
values for formal models of stochastic and timed systems. Exact results often cannot be …

Mungojerrie: Linear-time objectives in model-free reinforcement learning

EM Hahn, M Perez, S Schewe, F Somenzi… - … Conference on Tools …, 2023 - Springer
Mungojerrie is an extensible tool that provides a framework to translate linear-time
objectives into reward for reinforcement learning (RL). The tool provides convergent RL …

Model-free reinforcement learning for stochastic parity games

EM Hahn, M Perez, S Schewe… - 31st International …, 2020 - research.utwente.nl
This paper investigates the use of model-free reinforcement learning to compute the optimal
value in two-player stochastic games with parity objectives. In this setting, two decision …

EPMC Gets Knowledge in Multi-agent Systems

C Fu, EM Hahn, Y Li, S Schewe, M Sun… - … on Verification, Model …, 2022 - Springer
In this paper, we present epmc, an extendible probabilistic model checker. epmc has a small
kernel, and is designed modularly. It supports discrete probabilistic models such as Markov …

Quasipolynomial computation of nested fixpoints

D Hausmann, L Schröder - … Conference on Tools and Algorithms for the …, 2021 - Springer
It is well-known that the winning region of a parity game with n nodes and k priorities can be
computed as ak-nested fixpoint of a suitable function; straightforward computation of this …

Mungojerrie: Reinforcement learning of linear-time objectives

EM Hahn, M Perez, S Schewe, F Somenzi… - arXiv preprint arXiv …, 2021 - arxiv.org
Reinforcement learning synthesizes controllers without prior knowledge of the system. At
each timestep, a reward is given. The controllers optimize the discounted sum of these …

Synthesising strategy improvement and recursive algorithms for solving 2.5 player parity games

EM Hahn, S Schewe, A Turrini, L Zhang - Verification, Model Checking …, 2017 - Springer
5 player parity games combine the challenges posed by 2.5 player reachability games and
the qualitative analysis of parity games. These two types of problems are best approached …