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GPU-Accelerated Value Iteration for the Computation of Reachability Probabilities in MDPs.

, , , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1726-1727. IOS Press, (2016)

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Good-for-MDPs Automata., , , , , and . CoRR, (2019)Mungojerrie: Reinforcement Learning of Linear-Time Objectives., , , , , and . CoRR, (2021)The Marriage Between Safety and Cybersecurity: Still Practicing., , , , and . SPIN, volume 12864 of Lecture Notes in Computer Science, page 3-21. Springer, (2021)Reinforcement Learning with Guarantees that Hold for Ever., , , , , and . FMICS, volume 13487 of Lecture Notes in Computer Science, page 3-7. Springer, (2022)sfATM: A Logic for Quantitative Security Properties on Attack Trees., , , and . SEFM, volume 14323 of Lecture Notes in Computer Science, page 205-225. Springer, (2023)Limit reachability for model-free reinforcement learning of ω-regular objectives., , , , , and . SNR, page 16-18. ACM, (2019)Polynomial-Time Alternating Probabilistic Bisimulation for Interval MDPs., , , , and . SETTA, volume 10606 of Lecture Notes in Computer Science, page 25-41. Springer, (2017)Model Checking Omega-regular Properties for Quantum Markov Chains ., , , and . CONCUR, volume 85 of LIPIcs, page 35:1-35:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Interval Markov Decision Processes with Multiple Objectives: From Robust Strategies to Pareto Curves., , , , and . ACM Trans. Model. Comput. Simul., 29 (4): 27:1-27:31 (2019)Symblicit exploration and elimination for probabilistic model checking., and . SAC, page 1798-1806. ACM, (2021)