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L*-based learning of Markov decision processes (extended version).

, , , , and . Formal Aspects Comput., 33 (4-5): 575-615 (2021)

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Learning Environment Models with Continuous Stochastic Dynamics., , , and . CoRR, (2023)Automata Learning Meets Shielding., , , , , and . ISoLA (1), volume 13701 of Lecture Notes in Computer Science, page 335-359. Springer, (2022)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 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)Model-Based Testing IoT Communication via Active Automata Learning., , and . CoRR, (2019)Online Shielding for Stochastic Systems., , , , and . CoRR, (2020)Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning., , , , , , , , and . ICTSS, volume 11812 of Lecture Notes in Computer Science, page 3-21. Springer, (2019)On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth., , , , and . CoRR, (2023)