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Verification of general Markov decision processes by approximate similarity relations and policy refinement.

, , and . CoRR, (2016)

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Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems., and . CoRR, (2018)Sampling-based Approximations with Quantitative Performance for the Probabilistic Reach-Avoid Problem over General Markov Processes., , and . CoRR, (2014)Correct-by-design output feedback of LTI systems., , and . CDC, page 6159-6164. IEEE, (2015)Data-Efficient Bayesian Verification of Parametric Markov Chains., , , and . QEST, volume 9826 of Lecture Notes in Computer Science, page 35-51. Springer, (2016)ARCH-COMP18 Category Report: Stochastic Modelling., , , , , , , , , and 1 other author(s). ARCH@ADHS, volume 54 of EPiC Series in Computing, page 71-103. EasyChair, (2018)Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement., , and . SIAM J. Control and Optimization, 55 (4): 2333-2367 (2017)Data-driven and Model-based Verification: a Bayesian Identification Approach., , and . CoRR, (2015)Temporal logic control of general Markov decision processes by approximate policy refinement., , and . CoRR, (2017)Verification of general Markov decision processes by approximate similarity relations and policy refinement., , and . CoRR, (2016)Toward Specification-Guided Active Mars Exploration for Cooperative Robot Teams., , , , , , , and . Robotics: Science and Systems, (2018)