Roman Andriushchenko

Publikace

• 2023

  ANDRIUSHCHENKO, R.; ALEXANDER, B.; ČEŠKA, M.; JUNGES, S.; KATOEN, J.; MACÁK, F. Search and Explore: Symbiotic Policy Synthesis in POMDPs. In Computer Aided Verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Verlag, 2023. p. 113-135. ISBN: 978-3-031-37708-2. Detail

  ANDRIUSHCHENKO, R.; BARTOCCI, E.; ČEŠKA, M.; FRANCESCO, P.; SARAH, S. Deductive Controller Synthesis for Probabilistic Hyperproperties. In Quantitative Evaluation of SysTems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Verlag, 2023. p. 288-306. ISBN: 978-3-031-43834-9. Detail

• 2022

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; JUNGES, S.; KATOEN, J. Inductive Synthesis of Finite-State Controllers for POMDPs. In Conference on Uncertainty in Artificial Intelligence. Proceedings of Machine Learning Research. Eindhoven: Proceedings of Machine Learning Research, 2022. p. 85-95. ISSN: 2640-3498. Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; MARCIN, V.; VOJNAR, T. GPU-Accelerated Synthesis of Probabilistic Programs. In International Conference on Computer Aided Systems Theory (EUROCAST'22). Lecture Notes in Computer Science. Cham: 2022. p. 256-266. ISBN: 978-3-031-25312-6. Detail

• 2021

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; ABATE, A.; KWIATKOWSKA, M. Adaptive formal approximations of Markov chains. PERFORMANCE EVALUATION, 2021, vol. 148, no. 102207, p. 1-23. ISSN: 0166-5316. Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; JUNGES, S.; KATOEN, J. Inductive Synthesis for Probabilistic Programs Reaches New Horizons. International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS). Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021. p. 191-209. ISBN: 978-3-030-72015-5. Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; STUPINSKÝ, Š.; JUNGES, S.; KATOEN, J. PAYNT: A Tool for Inductive Synthesis of Probabilistic Programs. In International Conference on Computer Aided Verification (CAV). Lecture Notes in Computer Science. Cham: Springer Verlag, 2021. p. 856-869. ISBN: 978-3-030-81684-1. Detail