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Hauptverfasser: Calvi, Annalisa, Bodic, Pierre Le, McGuire, Samuel, Lam, Edward
Format: Preprint
Veröffentlicht: 2026
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Online-Zugang:https://arxiv.org/abs/2603.23503
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author Calvi, Annalisa
Bodic, Pierre Le
McGuire, Samuel
Lam, Edward
author_facet Calvi, Annalisa
Bodic, Pierre Le
McGuire, Samuel
Lam, Edward
contents Given a tree, a set of pebbles initially stationed at some nodes of the tree, and a set of target nodes, the Unlabeled Pebble Motion on Trees problem (UPMT) asks to find a plan to move the pebbles one-at-a-time from the starting nodes to the target nodes along the edges of the tree while minimizing the number of moves. This paper proposes the first optimal algorithm for UPMT that is asymptotically as fast as possible, as it runs in a time linear in the size of the input (the tree) and the size of the output (the optimal plan). We extend this to solve unlabeled Multi-Agent Path Finding (MAPF) in trees, providing novel bounds on optimal makespan, sum of costs, and pebble motion plan length.
format Preprint
id arxiv_https___arxiv_org_abs_2603_23503
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimal Unlabeled Pebble Motion on Trees and its Application to Multi-Agent Path Finding
Calvi, Annalisa
Bodic, Pierre Le
McGuire, Samuel
Lam, Edward
Data Structures and Algorithms
Given a tree, a set of pebbles initially stationed at some nodes of the tree, and a set of target nodes, the Unlabeled Pebble Motion on Trees problem (UPMT) asks to find a plan to move the pebbles one-at-a-time from the starting nodes to the target nodes along the edges of the tree while minimizing the number of moves. This paper proposes the first optimal algorithm for UPMT that is asymptotically as fast as possible, as it runs in a time linear in the size of the input (the tree) and the size of the output (the optimal plan). We extend this to solve unlabeled Multi-Agent Path Finding (MAPF) in trees, providing novel bounds on optimal makespan, sum of costs, and pebble motion plan length.
title Optimal Unlabeled Pebble Motion on Trees and its Application to Multi-Agent Path Finding
topic Data Structures and Algorithms
url https://arxiv.org/abs/2603.23503