11 citations · 48 across the 20 of their papers we have counts for
5 papers · 1 filter
Omega-Regular Decision Processes
Ernst Moritz Hahn, Mateo Perez, Sven Schewe +3
Regular decision processes (RDPs) are a subclass of non-Markovian decision processes where the transition and reward functions are guarded by some regular property of the past (a l…
AGNES: Abstraction-guided Framework for Deep Neural Networks Security
Akshay Dhonthi, Marcello Eiermann, Ernst Moritz Hahn +1
Deep Neural Networks (DNNs) are becoming widespread, particularly in safety-critical areas. One prominent application is image recognition in autonomous driving, where the correct…
Omega-Regular Reward Machines
Ernst Moritz Hahn, Mateo Perez, Sven Schewe +3
Reinforcement learning (RL) is a powerful approach for training agents to perform tasks, but designing an appropriate reward mechanism is critical to its success. However, in many…
Scenario Approach for Parametric Markov Models
Ying Liu, Andrea Turrini, Moritz Hahn +2
In this paper, we propose an approximating framework for analyzing parametric Markov models. Instead of computing complex rational functions encoding the reachability probability a…
PFL: a Probabilistic Logic for Fault Trees
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, E. Moritz Hahn +1
Safety-critical infrastructures must operate in a safe and reliable way. Fault tree analysis is a widespread method used for risk assessment of these systems: fault trees (FTs) are…