Joost-Pieter Katoen

New DFG-WEAVE Project

The DFG together with the FNRS (Belgium) have granted the project, entitled “Mixing Formal Methods and Learning Techniques for Strategy Synthesis in Partially Observable Markov Decision Processes” for a period of three years. This project is a collaboration with the research group of Jean-Francois Raskin (Universite de Libre Bruxelles).

Paper in JAIR

The paper entitled “An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty” by Roman Andriushchenko, Milan Češka, Filip Macák (Brno University of Technology), Sebastian Junges (Radboud University) and Joost-Pieter Katoen has been accepted for publication in the Journal of Artificial Intelligence Research (JAIR). The paper present coloured Markov Decision Processes (MDPs) which describes a collection […]

Paper at TACAS 2025

The paper entitled “Fixed Point Certificates for Reachability and Expected Rewards in MDPs” by Tim Quatmann, Maximilian Schäffeler (TU Munich), Maximilian Weininger (ISTA), Tobias Winkler, Daniel Zilken and Krishnendu Chatterjee (ISTA) has been accepted at the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2025), to be held […]

Paper at FoSSaCS 2025

The paper entitled “Quantifier Elimination and Craig Interpolation: The Quantitative Way” byKevin Batz, Joost-Pieter Katoen and Nora Orhan has been accepted at the FoSSaCS 2025 Conference (Hamilton, Canada). This paper gives a quantifier elimination algorithm for quantitative formulas as they e.g. occur in the analysis of probabilistic programs, and present a theorem for a quantitative […]

Paper at AAMAS 2025

The paper entitled “Robust Strategies for Stochastic Multi-Agent Systems” by Raphael Berthon, Joost-Pieter Katoen, Munyque Mittelmann, and Aniello Murano has been accepted as extended abstract at the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit. The paper presents Probabilistic Alternating-Time Temporal Logic with bounded strategies (PATLb) for stochastic multi-agent systems with uncertainty, and […]

Paper at Reachability Problems 2024

The paper “Markov Decision Processes with Sure Parity and Multiple Reachability Objectives” by Raphaël Berthon, Joost-Pieter Katoen and Tobias Winkler has been accepted for the 18th Int. Conference on Reachability Problems (RP 2024) in Vienna. The paper presents new algorithms and complexity bounfs to achieve one sure parity condition and several quantitative threshold objectives on […]

Paper at CONCUR 2024

The paper entitled “A Spectrum of Approximate Probabilistic Bisimulations” by Timm Spork (TU Dresden), Christel Baier (TU Dresden), Joost-Pieter Katoen, Jakob Piribauer (TU Dresden) and Tim Quatmann has been accepted for the 35th Int. Conf. on Concurrency Theory (CONCUR) in Calgary, Canada. The paper compares several different (and some new) notions of approximate strong and […]

ETAPS Best Paper Award

The paper entitled “Accurately Computing Expected Visiting Times and Stationary Distributions in Markov Chains” by Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann and Tobias Winkler has received the EAPLS (Eur. Association of Programming Languages) Best Paper Award@ETAPS 2024. The paper provides efficient and scalable algorithms to compute expected visiting times in Markov chains, and shows how […]

Leopoldina

Joost-Pieter Katoen has been elected as member of Leopoldina, the German Academy of Sciences. This academy was established in 1652 and is the oldest academy in the world. Katoen is the first computer scienttist from RWTH Aachen University in Leopoldina and the 15th RWTH member of Leopoldina ever. See also press announcements: https://www.rwth-aachen.de/cms/root/Die-RWTH/Aktuell/Pressemitteilungen/Maerz-2024/~bgppks/Joost-Pieter-Katoen-in-die-Leopoldina-au/lidx/1/ and https://www.utwente.nl/en/eemcs/news/2024/3/1415316/professor-joost-pieter-katoen-inducted-into-the-leopoldina-academy-of-sciences

Paper at OOPSLA 2024

The paper entitled “Exact Bayesian Inference for Loopy Probabilistic Programs Using Generating Functions” by Lutz Klinkenberg, Christian Blumenthal, Mingshuai Chen, Darion Haase and Joost-Pieter Katoen has been accepted for the Conference Object-Oriented Programming, Systems, Languages, and Applications 2024 (OOPSLA). The paper presents a novel exact inference technique for discrete probabilistic programs with unbounded loops and conditioning. […]