activity
20122023
most citedModel-Based Testing IoT Communication via Active Automata Learning

119 citations · 176 across the 14 of their papers we have counts for

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12 papers · 1 filter

cs.LO2021

TEMPEST -- Synthesis Tool for Reactive Systems and Shields in Probabilistic Environments

Stefan Pranger, Bettina Könighofer, Lukas Posch +1

We present Tempest, a synthesis tool to automatically create correct-by-construction reactive systems and shields from qualitative or quantitative specifications in probabilistic e…

cs.LO2020

Online Shielding for Stochastic Systems

Bettina Könighofer, Julian Rudolf, Alexander Palmisano +2

In this paper, we propose a method to develop trustworthy reinforcement learning systems. To ensure safety especially during exploration, we automatically synthesize a correct-by-c…

cs.LO2020

Adaptive Shielding under Uncertainty

Stefan Pranger, Bettina Könighofer, Martin Tappler +3

This paper targets control problems that exhibit specific safety and performance requirements. In particular, the aim is to ensure that an agent, operating under uncertainty, will…

cs.LO2020

It's Time to Play Safe: Shield Synthesis for Timed Systems

Roderick Bloem, Peter Gjøl Jensen, Bettina Könighofer +3

Erroneous behaviour in safety critical real-time systems may inflict serious consequences. In this paper, we show how to synthesize timed shields from timed safety properties given…

cs.LO2019

The 5th Reactive Synthesis Competition (SYNTCOMP 2018): Benchmarks, Participants & Results

Swen Jacobs, Roderick Bloem, Maximilien Colange +11

We report on the fifth reactive synthesis competition (SYNTCOMP 2018). We introduce four new benchmark classes that have been added to the SYNTCOMP library, and briefly describe th…

cs.LO2018

Expansion-Based QBF Solving Without Recursion

Roderick Bloem, Nicolas Braud-Santoni, Vedad Hadzic +3

In recent years, expansion-based techniques have been shown to be very powerful in theory and practice for solving quantified Boolean formulas (QBF), the extension of propositional…