Publikace

• 2025

  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. s. 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, roč. 2025, č. 82, s. 433-469. ISSN: 1076-9757.
  Detail | WWW

  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. s. 1688-1697. ISBN: 979-8-4007-1426-9.
  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. s. 113-135. ISBN: 978-3-031-37708-2.
  Detail

*) Citace publikací se generují jednou za 24 hodin.