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Compositional Value Iteration with Pareto Caching

2024/05/16 by Kazuki Watanabe, Marck van der Vegt, Watanabe, Kazuki +5 · 1 citation
Computer Science · #Advanced Database Systems and Queries #Data Management and Algorithms #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Semantic Web and Ontologies

paper · pdf · doi:10.48550/arxiv.2405.10099

openalex publication_date 2024/05/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The de-facto standard approach in MDP verification is based on value iteration (VI). We propose compositional VI, a framework for model checking compositional MDPs, that addresses efficiency while maintaining soundness. Concretely, compositional MDPs naturally arise from the combination of individual components, and their structure can be expressed using, e.g., string diagrams. Towards efficiency, we observe that compositional VI repeatedly verifies individual components. We propose a technique called Pareto caching that allows to reuse verification results, even for previously unseen queries. Towards soundness, we present two stopping criteria: one generalizes the optimistic value iteration paradigm and the other uses Pareto caches in conjunction with recent baseline algorithms. Our experimental evaluations shows the promise of the novel algorithm and its variations, and identifies challenges for future work.

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