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Collaborations and top research areas from the last five years
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Explainably Safe Reinforcement Learning
Rieder, S., Pranger, S., Chakraborty, D., Křetínský, J. & Könighofer, B., 2025, (Accepted/In press) 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 30 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Shields for Safe Reinforcement Learning
Könighofer, B., Bloem, R., Jansen, N., Junges, S. & Pranger, S., 20 Oct 2025, In: Communications of the ACM. 68, 11, p. 80 - 90 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Tools at the Frontiers of Quantitative Verification: QComp 2023 Competition Report
Andriushchenko, R., Bork, A., Budde, C. E., Češka, M., Grover, K., Hahn, E. M., Hartmanns, A., Israelsen, B., Jansen, N., Jeppson, J., Junges, S., Köhl, M. A., Könighofer, B., Křetínský, J., Meggendorfer, T., Parker, D., Pranger, S., Quatmann, T., Ruijters, E. & Taylor, L. & 3 others, , 2025, TOOLympics Challenge 2023 - Updates, Results, Successes of the Formal-Methods Competitions. Beyer, D., Hartmanns, A. & Kordon, F. (eds.). Springer, Cham, p. 90–146 57 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14550 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
Pranger, S., Chockler, H., Tappler, M. & Könighofer, B., 2024, 38th Conference on Neural Information Processing Systems (NeurIPS 2024). 24 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Automata Learning meets Shielding
Tappler, M., Pranger, S., Könighofer, B., Muskardin, E., Bloem, R. & Larsen, K. G., 2022, Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles - 11th International Symposium, ISoLA 2022, Proceedings: ISoLA 2022. Margaria, T. & Steffen, B. (eds.). Cham: Springer, p. 335-359 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13701 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Activities
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Shield Synthesis for Safe Reinforcement Learning
Pranger, S. (Speaker)
4 Dec 2025 → 5 Dec 2025Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
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Shielded Reinforcement Learning
Könighofer, B. (Speaker) & Pranger, S. (Speaker)
27 Mar 2025Activity: Talk or presentation › Invited talk › Science to science
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Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
Pranger, S. (Speaker)
13 Dec 2024Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Easy-to-Use Shield Synthesis for RL with Tempest
Pranger, S. (Speaker)
18 Jul 2023Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
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Radboud University Nijmegen
Pranger, S. (Visitor)
2 Apr 2023 → 7 Apr 2023Activity: Visiting an external academic institution › Research at external institution