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

, , and . CoRR, (2016)

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Dynamic Bayesian networks for formal verification of structured stochastic processes., , and . Acta Inf., 54 (2): 217-242 (2017)Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement., , and . SIAM J. Control and Optimization, 55 (4): 2333-2367 (2017)FAUST 2 : Formal Abstractions of Uncountable-STate STochastic Processes., , and . TACAS, volume 9035 of Lecture Notes in Computer Science, page 272-286. Springer, (2015)Aggregation and Control of Populations of Thermostatically Controlled Loads by Formal Abstractions., and . IEEE Trans. Contr. Sys. Techn., 23 (3): 975-990 (2015)Temporal logic control of general Markov decision processes by approximate policy refinement., , and . CoRR, (2017)Compositional Construction of Finite State Abstractions for Stochastic Control Systems., , , and . CoRR, (2017)Verification of general Markov decision processes by approximate similarity relations and policy refinement., , and . CoRR, (2016)Shrinking Horizon Model Predictive Control with chance-constrained signal temporal logic specifications., , , and . ACC, page 1740-1746. IEEE, (2017)Adaptive and Sequential Gridding Procedures for the Abstraction and Verification of Stochastic Processes., and . SIAM J. Applied Dynamical Systems, 12 (2): 921-956 (2013)Finite Abstractions of Stochastic Max-Plus-Linear Systems., , and . QEST, volume 8657 of Lecture Notes in Computer Science, page 74-89. Springer, (2014)