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Nathan Sturtevant

3 accepted papers

2023

Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds

IJCAI 2023poster

Recent research on bidirectional heuristic search (BiHS) is based on the must-expand pairs theory (MEP theory), which describes which pairs of nodes must be expanded during the search to guarantee the optimality of solutions. A separate line of research in BiHS has proposed algorithms that use lowe…

Cited by 2SourcePDFScholar
2020

Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound

IJCAI 2020poster

Recent work on bidirectional search defined a lower bound on costs of paths between pairs of nodes, and introduced a new algorithm, NBS, which is based on this bound. Building on these results, we introduce DVCBS, a new algorithm that aims to to further reduce the number of expansions. Generalizing…

Cited by 0SourcePDFScholar
2020

Multi-Directional Heuristic Search

IJCAI 2020poster

In the Multi-Agent Meeting problem (MAM), the task is to find a meeting location for multiple agents, as well as a path for each agent to that location. In this paper, we introduce MM*, a Multi-Directional Heuristic Search algorithm that finds the optimal meeting location under different cost functi…

Cited by 0SourcePDFScholar