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Hirvonen, Juho, et al. “On the Convergence Time in Graphical Games: A Locality-Sensitive Approach.”10.4230/LIPIcs.OPODIS.2023.11__27th International Conference on Principles of Distributed Systems, vol. 286, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:10.4230/LIPIcs.OPODIS.2023.11.
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Hübner, Valentin, et al. “Efficiency and Resilience of Cooperation in Asymmetric Social Dilemmas.”10.1073/pnas.2315558121__Proceedings of the National Academy of Sciences, vol. 121, no. 10, e2315558121, Proceedings of the National Academy of Sciences, 2024, doi:10.1073/pnas.2315558121.
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Svoboda, Jakub, et al. “Amplifiers of Selection for the Moran Process with Both Birth-Death and Death-Birth Updating.”10.1371/journal.pcbi.1012008__PLoS Computational Biology, vol. 20, no. 3, e1012008, Public Library of Science, 2024, doi:10.1371/journal.pcbi.1012008.
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Chatterjee, Krishnendu, et al. “Faster Algorithm for Turn-Based Stochastic Games with Bounded Treewidth.”10.1137/1.9781611977554.ch173__Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2023, pp. 4590–605, doi:10.1137/1.9781611977554.ch173.
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Chatterjee, Krishnendu, et al. “A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems.”10.1007/978-3-031-30823-9_1__Tools and Algorithms for the Construction and Analysis of Systems , vol. 13993, Springer Nature, 2023, pp. 3–25, doi:10.1007/978-3-031-30823-9_1.
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Svoboda, Jakub, et al. “Coexistence Times in the Moran Process with Environmental Heterogeneity.”10.1098/rspa.2022.0685__Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 479, no. 2271, 20220685, The Royal Society, 2023, doi:10.1098/rspa.2022.0685.
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Schmid, Laura, et al. “Quantitative Assessment Can Stabilize Indirect Reciprocity under Imperfect Information.”10.1038/s41467-023-37817-x__Nature Communications, vol. 14, 2086, Springer Nature, 2023, doi:10.1038/s41467-023-37817-x.
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Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.”10.1609/aaai.v37i12.26747__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 12, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:10.1609/aaai.v37i12.26747.
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Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”10.1609/aaai.v37i5.25679__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 5, 2023, pp. 5464–71, doi:10.1609/aaai.v37i5.25679.
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Kretinsky, Jan, et al. “Guessing Winning Policies in LTL Synthesis by Semantic Learning.”10.1007/978-3-031-37706-8_20__35th International Conference on Computer Aided Verification , vol. 13964, Springer Nature, 2023, pp. 390–414, doi:10.1007/978-3-031-37706-8_20.
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Sun, Yican, et al. “Automated Tail Bound Analysis for Probabilistic Recurrence Relations.”10.1007/978-3-031-37709-9_2__Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 16–39, doi:10.1007/978-3-031-37709-9_2.
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Akshay, S., et al. “MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”10.1007/978-3-031-37709-9_5__International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 86–112, doi:10.1007/978-3-031-37709-9_5.
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Chatterjee, Krishnendu, et al. “Stochastic Games with Lexicographic Objectives.”10.1007/s10703-023-00411-4__Formal Methods in System Design, Springer Nature, 2023, doi:10.1007/s10703-023-00411-4.
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Graham, Thomas, et al. “Where Do Mistakes Lead? A Survey of Games with Incompetent Players.”10.1007/s13235-022-00425-3__Dynamic Games and Applications, vol. 13, Springer Nature, 2023, pp. 231–64, doi:10.1007/s13235-022-00425-3.
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Baier, Christel, et al. “Entropic Risk for Turn-Based Stochastic Games.”10.4230/LIPIcs.MFCS.2023.15__48th International Symposium on Mathematical Foundations of Computer Science, vol. 272, 15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023, doi:10.4230/LIPIcs.MFCS.2023.15.
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arXiv: 2307.06611

Mckerral, Jody C., et al. “Empirical Parameterisation and Dynamical Analysis of the Allometric Rosenzweig-MacArthur Equations.”10.1371/journal.pone.0279838__PLoS One, vol. 18, no. 2, Public Library of Science, 2023, p. e0279838, doi:10.1371/journal.pone.0279838.
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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.
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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.
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Schmid, Stefan, et al. “Weighted Packet Selection for Rechargeable Links in Cryptocurrency Networks: Complexity and Approximation.”10.1007/978-3-031-32733-9_26__SIROCCO 2023: Structural Information and Communication Complexity , vol. 13892, Springer Nature, 2023, pp. 576–94, doi:10.1007/978-3-031-32733-9_26.
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