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        <identifier>oai:drops-oai.dagstuhl.de:23445</identifier>
        <datestamp>2025-10-02T10:55:20Z</datestamp>
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          <dc:title>Graph Exploration: The Impact of a Distance Constraint</dc:title>
          <dc:creator>Devismes, Stéphane</dc:creator>
          <dc:creator>Dieudonné, Yoann</dc:creator>
          <dc:creator>Labourel, Arnaud</dc:creator>
          <dc:subject>exploration</dc:subject>
          <dc:subject>graph</dc:subject>
          <dc:subject>mobile agent</dc:subject>
          <dc:description>A mobile agent, starting from a node s of a simple undirected connected graph G = (V,E), has to explore all nodes and edges of G using the minimum number of edge traversals. To do so, the agent uses a deterministic algorithm that allows it to gain information on G as it traverses its edges. During its exploration, the agent must always respect the constraint of knowing a path of length at most D to go back to node s. The upper bound D is fixed as being equal to (1+α)r, where r is the eccentricity of node s (i.e., the maximum distance from s to any other node) and α is any positive real constant. This task has been introduced by Duncan et al. [Christian A. Duncan et al., 2006] and is known as distance-constrained exploration.&#13;
The penalty of an exploration algorithm running in G is the number of edge traversals made by the agent in excess of |E|. In [Petrisor Panaite and Andrzej Pelc, 1999], Panaite and Pelc gave an algorithm for solving exploration without any constraint on the moves that is guaranteed to work in every graph G with a (small) penalty in 𝒪(|V|). Hence, a natural question is whether we can obtain a distance-constrained exploration algorithm with the same guarantee as well.&#13;
In this paper, we provide a negative answer to this question. We also observe that an algorithm working in every graph G with a linear penalty in |V| cannot be obtained for the task of fuel-constrained exploration, another variant studied in the literature.&#13;
This solves an open problem posed by Duncan et al. in [Christian A. Duncan et al., 2006] and shows a fundamental separation with the task of exploration without constraint on the moves.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Stéphane Devismes and Yoann Dieudonné and Arnaud Labourel</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2025.68</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-234452</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.68</dc:identifier>
          <dc:language>eng</dc:language>
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