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Simos Gerasimou

ورقة واحدة في مجموعة PaperMetrix

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  1. Accelerating Policy Synthesis in Large-Scale MDPs via Hierarchical Adaptive Refinement

    2026 · Proceedings of the ACM on software engineering.

    Software-intensive systems, such as software product lines and robotics, utilise Markov decision processes (MDPs) to capture uncertainty and analyse sequential decision-making problems. Despite the usefulness of conventional policy synthesis methods, they fail to scale to …