Domain-Independent Dynamic Programming with Constraint Propagation
📰 ArXiv cs.AI
arXiv:2603.16648v2 Announce Type: replace Abstract: There are two prevalent model-based paradigms for combinatorial problems: 1) state-based representations, such as heuristic search, dynamic programming (DP), and decision diagrams, and 2) constraint and domain-based representations, such as constraint programming (CP), (mixed-)integer programming, and Boolean satisfiability. In this paper, we bridge the gap between the DP and CP paradigms by integrating constraint propagation into DP, enabling
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