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Probabilistic Black-Box Reachability Checking.

, and . RV, volume 10548 of Lecture Notes in Computer Science, page 50-67. Springer, (2017)

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Learning Environment Models with Continuous Stochastic Dynamics., , , and . CoRR, (2023)Symbolic Input-Output Conformance Checking for Model-Based Mutation Testing., and . USE@FM, volume 320 of Electronic Notes in Theoretical Computer Science, page 3-19. Elsevier, (2015)Automata Learning Meets Shielding., , , , , and . ISoLA (1), volume 13701 of Lecture Notes in Computer Science, page 335-359. Springer, (2022)Automata Learning for Symbolic Execution., , , , and . FMCAD, page 1-9. IEEE, (2018)Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data., , , and . ICSE, page 6:1-6:13. ACM, (2024)L*-based learning of Markov decision processes (extended version)., , , , and . Formal Aspects Comput., 33 (4-5): 575-615 (2021)Does this fault lead to failure? Combining refinement and input-output conformance checking in fault-oriented test-case generation., , and . J. Log. Algebraic Methods Program., 85 (5): 806-823 (2016)Health of smart ecosystems., , , and . ESEC/SIGSOFT FSE, page 1491-1494. ACM, (2021)Learning from Faults: Mutation Testing in Active Automata Learning., and . NFM, volume 10227 of Lecture Notes in Computer Science, page 19-34. (2017)Timed Automata Learning via SMT Solving., , and . NFM, volume 13260 of Lecture Notes in Computer Science, page 489-507. Springer, (2022)