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Learning Admissible Heuristics via Cost Partitioning

Arxiv CS.AI (top papers)

Paper proposes learning admissible heuristics for optimal planning via cost partitioning. The method combines multiple abstraction heuristics while preserving admissibility, addressing overestimation.

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7 days ago
Learning Admissible Heuristics via Cost Partitioning — AIBriefs