2025 |
[bibtex]
[issue]
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Philipp Schröer, Francesca Randone, Raúl Pardo, Andrzej Wa̧sowski. Symbolic Quantitative Information Flow for Probabilistic Programs, Volume 15260 of LNCS, 128-154, Springer, 2025.
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2024 |
[bibtex]
[issue]
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Kevin Batz, Tom Jannik Biskup, Joost-Pieter Katoen, Tobias Winkler. Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Programs, Proceedings of the ACM on programming languages 8, pages 93, ACM, 2024.
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[bibtex]
[issue]
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Sebastian Junges, Erika Ábrahám, Hans Christian Hensel, Nils Jansen, Joost-Pieter Katoen, Tim Quatmann, Matthias Volk. Parameter synthesis for Markov models: covering the parameter space, Formal methods in system design 62 (1/3), pages 181-259, Springer, 2024.
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[bibtex]
[issue]
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Lutz Klinkenberg, Christian Blumenthal, Mingshuai Chen, Darion Haase, Joost-Pieter Katoen. Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions, Proceedings of the ACM on programming languages 8 (OOPSLA1), pages 127, ACM, 2024.
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[bibtex]
[issue]
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Matthias Volk, Falak Sher, Joost-Pieter Katoen, Mariëlle Stoelinga. SAFEST: Fault Tree Analysis Via Probabilistic Model Checking, 2024 Annual Reliability and Maintainability Symposium (RAMS), IEEE, 2024.
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[bibtex]
[issue]
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Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann, Tobias Winkler. Accurately Computing Expected Visiting Times and Stationary Distributions in Markov Chains, 30. International Conference TACAS (TACAS 2024), Volume 14571 of LNCS, 237-257, Springer, 2024.
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[bibtex]
[issue]
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Raphael Jean Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano. Natural Strategic Ability in Stochastic Multi-Agent Systems, 38. AAAI Conference on Artificial Intelligence (AAAI 2024), Volume 38,16 of Proceedings of the AAAI Conference on Artificial Intelligence, 17308-17316, Association for the Advancement of Artificial Intelligence, 2024.
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[bibtex]
[issue]
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Raphael Jean Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano. Natural Strategic Ability in Stochastic Multi-Agent Systems, 10 Seiten, 2024. https://arxiv.org/abs/2401.12170
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[bibtex]
[issue]
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Alexander Nikolai Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr. Learning Explainable and Better Performing Representations of POMDP Strategies, 30. International Conference TACAS (TACAS 2024), Volume 14571 of LNCS, 299-319, Springer, 2024.
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[bibtex]
[issue]
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Raphael Jean Berthon, Joost-Pieter Katoen, Tobias Winkler. Markov Decision Processes with Sure Parity and Multiple Reachability Objectives, 18. International Conference on Reachability Problems (RP 2024), Volume 15050 of LNCS, 203-220, Springer, 2024.
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