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Assured Reinforcement Learning with Formally Verified Abstract Policies.

, , , and . ICAART (2), page 105-117. SciTePress, (2017)

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Taming Service Uncertainty through Probabilistic Model Learning, Analysis and Synthesis.. UCC Companion, page 163. ACM, (2019)Synthesis of Pareto-optimal Policies for Continuous-Time Markov Decision Processes., and . SEAA, page 414-417. IEEE, (2022)Software Performance Engineering with Performance Antipatterns and Code-level Probabilistic Analysis., , and . MoDELS (Companion), page 249-253. IEEE, (2021)Interval Change-Point Detection for Runtime Probabilistic Model Checking., , , , and . ASE, page 163-174. IEEE, (2020)Evolutionary-Guided Synthesis of Verified Pareto-Optimal MDP Policies., , , , , and . ASE, page 842-853. IEEE, (2021)Developing self-verifying service-based systems., , and . ASE, page 734-737. IEEE, (2013)CADS*: Computer-Aided Development of Self-* Systems., and . FASE, volume 5503 of Lecture Notes in Computer Science, page 421-424. Springer, (2009)Probabilistic program performance analysis with confidence intervals., , and . Inf. Softw. Technol., (April 2023)Verified Synthesis of Optimal Safety Controllers for Human-Robot Collaboration., , , , , , , and . CoRR, (2021)Protecting Shared Virtualized Environments against Cache Side-channel Attacks., , and . ICISSP, page 507-514. SCITEPRESS, (2022)