Jun 13, 2022 · We present such an algorithm in this paper which we call A*pex and which builds on PP-A*, a state-of-the-art approximate bi-objective search algorithm.
A*pex is a multi-objective search algorithm that finds an ε- approximate Pareto-optimal solution set for a user-provided approximation factor. It builds on PP-A ...
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In multi-objective search, edges are annotated with cost vectors consisting of multiple cost components. A path dominates another path with the same start ...
In multi-objective search, edges are annotated with cost vectors consisting of multiple cost components. A path dominates another path with the same start ...
Jun 4, 2024 · In each iteration of A-A*pex, it runs A*pex, a state-of-the-art approximate multi-objective search algorithm, to compute more solutions. From ...
A*pex: Efficient Approximate Multi-Objective Search on Graphs. Proceedings of the Thirty-Second International Conference on Automated Planning and ...
A* pex: Efficient approximate multi-objective search on graphs. H Zhang, O Salzman, TKS Kumar, A Felner, CH Ulloa, S Koenig. Proceedings of the International ...
Oct 3, 2024 · The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the problem of computing collision-free paths for a team of agents while minimizing multiple ...
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We have developed search methods for sensor planning, planning with risk-attitudes for high-stake one-shot decision situations, and planning for deadlines.