2022
DOI: 10.48550/arxiv.2204.12814
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Bounds for Synchronizing Markov Decision Processes

Abstract: We consider Markov decision processes with synchronizing objectives, which require that a probability mass of 1 − ε accumulates in a designated set of target states, either once, always, infinitely often, or always from some point on, where ε = 0 for sure synchronizing, and ε → 0 for almost-sure and limit-sure synchronizing. We introduce two new qualitative modes of synchronizing, where the probability mass should be either positive, or bounded away from 0. They can be viewed as dual synchronizing objectives. … Show more

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