activity
20052023
most citedStochastic Timed Automata

52 citations · 217 across the 36 of their papers we have counts for

collaborators

45 papers

cs.LO2023★ 4 cited

Counterfactual Causality for Reachability and Safety based on Distance Functions

Julie Parreaux, Jakob Piribauer, Christel Baier

Investigations of causality in operational systems aim at providing human-understandable explanations of why a system behaves as it does. There is, in particular, a demand to expla…

cs.LO2023

Counterfactual Causality for Reachability and Safety based on Distance Functions

Julie Parreaux, Jakob Piribauer, Christel Baier

Investigations of causality in operational systems aim at providing human-understandable explanations of why a system behaves as it does. There is, in particular, a demand to expla…

cs.GT2023

Entropic Risk for Turn-Based Stochastic Games

Christel Baier, Krishnendu Chatterjee, Tobias Meggendorfer +1

Entropic risk (ERisk) is an established risk measure in finance, quantifying risk by an exponential re-weighting of rewards. We study ERisk for the first time in the context of tur…

cs.GT2023★ 2 cited

A Unifying Formal Approach to Importance Values in Boolean Functions

Hans Harder, Simon Jantsch, Christel Baier +1

Boolean functions and their representation through logics, circuits, machine learning classifiers, or binary decision diagrams (BDDs) play a central role in the design and analysis…

cs.LG2023

More for Less: Safe Policy Improvement With Stronger Performance Guarantees

Patrick Wienhöft, Marnix Suilen, Thiago D. Simão +3

In an offline reinforcement learning setting, the safe policy improvement (SPI) problem aims to improve the performance of a behavior policy according to which sample data has been…

cs.LG2023

Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access

Christel Baier, Clemens Dubslaff, Patrick Wienhöft +1

A central task in control theory, artificial intelligence, and formal methods is to synthesize reward-maximizing strategies for agents that operate in partially unknown environment…