Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees
June 07, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Laurent Orseau, Levi H. S. Lelis, Tor Lattimore
arXiv ID
1906.03242
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DS
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce and analyze two parameter-free linear-memory tree search algorithms. Under mild assumptions we prove our algorithms are guaranteed to perform only a logarithmic factor more node expansions than A* when the search space is a tree. Previously, the best guarantee for a linear-memory algorithm under similar assumptions was achieved by IDA*, which in the worst case expands quadratically more nodes than in its last iteration. Empirical results support the theory and demonstrate the practicality and robustness of our algorithms. Furthermore, they are fast and easy to implement.
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