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Soumyajit Paul

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Preprint Sep 2026

Automata-Theoretic Verification of Interval Markov Decision Processes

Interval Markov decision processes (IMDPs) provide a natural framework for modeling stochastic systems with uncertain transition probabilities, represented by probability intervals and resolved adversarially. Such uncertainty arises naturally, for example, when the transition model is learned from finite data or obtain...

Sarvin Bahmani, Soumyajit Paul, Sven Schewe et al. · 0 citations

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