Daniel Harabor

  1. Symmetry-Based Search Space Reduction For Grid Maps.

    Authors: Daniel Harabor, Adi Botea, Philip Kilby
    Subjects: Artificial Intelligence
    Abstract

    In this paper we explore a symmetry-based search space reduction technique
    which can speed up optimal pathfinding on undirected uniform-cost grid maps by
    up to 38 times. Our technique decomposes grid maps into a set of empty
    rectangles, removing from each rectangle all interior nodes and possibly some
    from along the perimeter. We then add a series of macro-edges between selected
    pairs of remaining perimeter nodes to facilitate provably optimal traversal
    through each rectangle. We also develop a novel online pruning technique to
    further speed up search.

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