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Avni, Guy, et al. “Reachability Poorman Discrete-Bidding Games.”10.3233/FAIA230264__Frontiers in Artificial Intelligence and Applications, vol. 372, IOS Press, 2023, pp. 141–48, doi:10.3233/FAIA230264.

Ansaripour, Matin, et al. “Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems.”10.1007/978-3-031-45329-8_17__21st International Symposium on Automated Technology for Verification and Analysis, vol. 14215, Springer Nature, 2023, pp. 357–79, doi:10.1007/978-3-031-45329-8_17.

Trinh, Van Giang, et al. “Trap Spaces of Multi-Valued Networks: Definition, Computation, and Applications.”10.1093/bioinformatics/btad262__Bioinformatics, vol. 39, no. Supplement_1, Oxford Academic, 2023, pp. i513–22, doi:10.1093/bioinformatics/btad262.

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Pastva, Samuel, and Thomas A. Henzinger. “Binary Decision Diagrams on Modern Hardware.”10.34727/2023/isbn.978-3-85448-060-0_20__Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design, TU Vienna Academic Press, 2023, pp. 122–31, doi:10.34727/2023/isbn.978-3-85448-060-0_20.

Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.”10.1609/aaai.v37i10.26407__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407.

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Banerjee, Tamajit, et al. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.”10.46298/theoretics.23.4__TheoretiCS, vol. 2, 4, EPI Sciences, 2023, doi:10.46298/theoretics.23.4.

Benes, Nikola, et al. “Phenotype Control of Partially Specified Boolean Networks.”10.1007/978-3-031-42697-1_2__21st International Conference on Computational Methods in Systems Biology, vol. 14137, Springer Nature, 2023, pp. 18–35, doi:10.1007/978-3-031-42697-1_2.

Majumdar, Rupak, et al. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.”10.1007/978-3-031-37709-9_1__35th International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 3–15, doi:10.1007/978-3-031-37709-9_1.

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Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” 37th Conference on Neural Information Processing Systems, 2023.

Chalupa, Marek, and Thomas A. Henzinger. “Monitoring Hyperproperties with Prefix Transducers.”10.1007/978-3-031-44267-4_9__23nd International Conference on Runtime Verification, vol. 14245, Springer Nature, 2023, pp. 168–90, doi:10.1007/978-3-031-44267-4_9.

Chalupa, Marek, and Thomas A. Henzinger. Monitoring Hyperproperties with Prefix Transducers. Zenodo, 2023, doi:10.5281/ZENODO.8191723.

Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.”10.1145/3593013.3594028__FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.

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Brunnbauer, Axel, et al. “Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing.”10.1109/ICRA46639.2022.9811650__2022 International Conference on Robotics and Automation, IEEE, 2022, pp. 7513–20, doi:10.1109/ICRA46639.2022.9811650.

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Henzinger, Thomas A., et al. “History-Deterministic Timed Automata.”10.4230/LIPIcs.CONCUR.2022.14__33rd International Conference on Concurrency Theory, vol. 243, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 14:1-14:21, doi:10.4230/LIPIcs.CONCUR.2022.14.