Publikační výsledky

• 2025

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; MACÁK, F.; FRANCESCO, P.; MICHELE, C. Decentralized Planning Using Probabilistic Hyperproperties. Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems. Detroit: 2025. p. 1688-1697. ISBN: 979-8-4007-1426-9.
  Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; MACÁK, F.; JUNGES, S. Policies Grow on Trees: Model Checking Families of MDPs. Proceeding of 22nd International Symposium on Automated Technology for Verification and Analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Verlag, 2025. p. 51-75. ISBN: 978-3-031-78749-2.
  Detail

  MACÁK, F.; ANDRIUSHCHENKO, R.; ČEŠKA, M.; JUNGES, S.; KATOEN, J. An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2025, vol. 2025, no. 82, p. 433-469. ISSN: 1076-9757.
  Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; JUNGES, S.; MACÁK, F. Small Decision Trees for MDPs with Deductive Synthesis. In Computer Aided Verification. Springer Cham, 2025. p. 169-192. ISBN: 978-3-031-98678-9.
  Detail

  ANDRIUSHCHENKO, R.; ČEŠKA, M.; CHAKRABORTY, D.; JUNGES, S.; KRETINSKY, J.; MACÁK, F. Symbiotic Local Search for Small Decision Tree Policies in MDPs. In Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence. Proceedings of Machine Learning Research. ML Research Press, 2025. p. 132-142.
  Detail

• 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

*) Citace se generují jednou za 24 hodin.