Jul 2, 2023 · We introduce Greedy PBS (GPBS), which uses greedy strategies to speed up PBS by minimizing the number of collisions between agents.
Greedy Priority-Based Search for Suboptimal Multi-Agent Path FindingShao-Hung Chan1, Roni Stern2, Ariel Felner2, Sven Koenig11University of Southern ...
Greedy PBS (GPBS), which uses greedy strategies to speed up PBS by minimizing the number of collisions between agents, is introduced and techniques that ...
Priority-Based Search (PBS) is the leading algorithm for this purpose. It finds paths for individual agents, one at a time, and resolves collisions by assigning ...
Jan 1, 2023 · Chan, S.-H., Stern, R., Felner, A., and Koenig, S. "Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding". Proceedings of the ...
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Apr 21, 2024 · Greedy priority-based search for suboptimal multi-agent path finding. In Proceedings of the International Symposium on Combinatorial Search ...
Sep 23, 2024 · "Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding" Proceedings of the Symposium on Combinatorial Search (SoCS) , 2023 ...
May 6, 2024 · In this study, we propose a hybrid approach that incorporates prioritized planning with learning-based methods to explicitly address these challenges.
Sep 16, 2024 · The author proposes Multi-. RRT* algorithm, an approach aiming to find a Pareto optimal solution with using a priority order method. The problem ...
Multi-Agent Path Finding (MAPF) is the problem of find- ing a set of collision-free paths for a group of agents in a shared environment. The objective of MAPF ...