Model Checking Finite-Horizon Markov Chains with Probabilistic Inference

@inproceedings{Holtzen2021ModelCF,
  title={Model Checking Finite-Horizon Markov Chains with Probabilistic Inference},
  author={Steven Holtzen and Sebastian Junges and Marcell Vazquez-Chanlatte and Todd D. Millstein and Sanjit A. Seshia and Guy Van den Broeck},
  booktitle={CAV},
  year={2021}
}
We revisit the symbolic verification of Markov chains with respect to finite horizon reachability properties. The prevalent approach iteratively computes step-bounded state reachability probabilities. By contrast, recent advances in probabilistic inference suggest symbolically representing all horizon-length paths through the Markov chain. We ask whether this perspective advances the state-of-the-art in probabilistic model checking. First, we formally describe both approaches in order to… 
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