Agents operating in physical environments need to be able to handle dela...
We propose a holistic methodology for designing automotivesystems that
c...
Besides the recent impressive results on reinforcement learning (RL), sa...
Safety is still one of the major research challenges in reinforcement
le...
We propose a model-based procedure for automatically preventing security...
Runtime enforcement refers to the theories, techniques, and tools for
en...
Reactive synthesis builds a system from a specification given as a tempo...
Implementation attacks like side-channel and fault attacks pose a
consid...
We present Tempest, a synthesis tool to automatically create
correct-by-...
In this paper, we propose a method to develop trustworthy reinforcement
...
We define the problem of learning a transducer S from a target language
...
Ensuring correctness of cyber-physical systems (CPS) is an extremely
cha...
This paper targets control problems that exhibit specific safety and
per...
Erroneous behaviour in safety critical real-time systems may inflict ser...
Models play an essential role in the design process of cyber-physical
sy...
This paper presents a learning-based approach to detecting failures in
r...
We report on the fifth reactive synthesis competition (SYNTCOMP 2018). W...
Constructing good test cases is difficult and time-consuming, especially...
Reactive synthesis aims at automatic construction of systems from their
...
In recent years, expansion-based techniques have been shown to be very
p...
A prominent problem in artificial intelligence and machine learning is t...
We consider the problem of monitoring a Linear Time Logic (LTL) specific...
Alpha-particles and cosmic rays cause bit flips in chips. Protection cir...
We report on the fourth reactive synthesis competition (SYNTCOMP 2017). ...
We reduce synthesis for CTL* properties to synthesis for LTL. In the con...
Reinforcement learning algorithms discover policies that maximize reward...
We introduce a novel generalization of Counterexample-Guided Inductive
S...