119 citations · 168 across the 14 of their papers we have counts for
4 papers · 1 filter
Fingerprinting and Analysis of Bluetooth Devices with Automata Learning
Andrea Pferscher, Bernhard K. Aichernig
Automata learning is a technique to automatically infer behavioral models of black-box systems. Today's learning algorithms enable the deduction of models that describe complex sys…
Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols
Bernhard K. Aichernig, Edi Muškardin, Andrea Pferscher
Active automata learning became a popular tool for the behavioral analysis of communication protocols. The main advantage is that no manual modeling effort is required since a beha…
Reinforcement Learning under Partial Observability Guided by Learned Environment Models
Edi Muskardin, Martin Tappler, Bernhard K. Aichernig +1
In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's pre…
Search-Based Testing of Reinforcement Learning
Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig +1
Evaluation of deep reinforcement learning (RL) is inherently challenging. Especially the opaqueness of learned policies and the stochastic nature of both agents and environments ma…