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What is Decidable about Partially Observable Markov Decision Processes with omega-Regular Objectives.

, , and . CSL, volume 23 of LIPIcs, page 165-180. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2013)

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Learning Algorithms for Verification of Markov Decision Processes., , , , , , , , and . CoRR, (2024)Optimal cost almost-sure reachability in POMDPs., , , and . Artif. Intell., (2016)Qualitative analysis of POMDPs with temporal logic specifications for robotics applications., , , and . ICRA, page 325-330. IEEE, (2015)CEGAR for Qualitative Analysis of Probabilistic Systems., , and . CAV, volume 8559 of Lecture Notes in Computer Science, page 473-490. Springer, (2014)What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives., , and . CoRR, (2013)Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications., , , , and . ICAPS, page 48-56. AAAI Press, (2020)Optimal Cost Almost-sure Reachability in POMDPs., , , and . CoRR, (2014)Learning Algorithms for Verification of Markov Decision Processes., , , , , , , , and . TheoretiCS, (2025)Counterexample Explanation by Learning Small Strategies in Markov Decision Processes., , , , and . CAV (1), volume 9206 of Lecture Notes in Computer Science, page 158-177. Springer, (2015)Sensor Synthesis for POMDPs with Reachability Objectives., , and . ICAPS, page 47-55. AAAI Press, (2018)