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Synthesizing Control for a System with Black Box Environment, Based on Deep Learning.

, , , , and . ISoLA (2), volume 12477 of Lecture Notes in Computer Science, page 457-472. Springer, (2020)

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Synthesizing Control for a System with Black Box Environment, Based on Deep Learning., , , , and . ISoLA (2), volume 12477 of Lecture Notes in Computer Science, page 457-472. Springer, (2020)Synthesizing, correcting and improving code, using model checking-based genetic programming., and . Int. J. Softw. Tools Technol. Transf., 19 (4): 449-464 (2017)Chasing Errors Using Biasing Automata., , , and . ISoLA (2), volume 11245 of Lecture Notes in Computer Science, page 271-286. Springer, (2018)On monitoring linear temporal properties., and . Formal Methods Syst. Des., 60 (3): 405-425 (2022)A Reinforcement-Learning Style Algorithm for Black Box Automata., , and . MEMOCODE, page 1-11. IEEE, (2022)Wiley Encyclopedia of Computer Science and Engineering 6th Edition, , and . 3, chapter Model Checking, page 1904-1920. Benjamin W. Wah, NEW YORK – USA, (2009)Refining the Safety-Liveness Classification of Temporal Properties According to Monitorability., and . Models, Mindsets, Meta, volume 11200 of Lecture Notes in Computer Science, page 218-234. Springer, (2018)Runtime Verification: From Propositional to First-Order Temporal Logic., and . RV, volume 11237 of Lecture Notes in Computer Science, page 90-112. Springer, (2018)Using Genetic Programming for Software Reliability.. RV, volume 10012 of Lecture Notes in Computer Science, page 116-131. Springer, (2016)TP-DejaVu: Combining Operational and Declarative Runtime Verification., , , , and . VMCAI (2), volume 14500 of Lecture Notes in Computer Science, page 249-263. Springer, (2024)