Recolorable Graph Exploration by an Oblivious Agent with Fewer Colors

Recently, Böckenhauer, Frei, Unger, and Wehner (SIROCCO 2023) introduced a novel variant of the graph exploration problem in which a single memoryless agent must visit all nodes of an unknown, undirected, and connected graph before returning to its starting node. Unlike the standard model for mobile agents, edges are not labeled with port numbers. Instead, the agent can color its current node and observe the color of each neighboring node. To move, it specifies a target color and then moves to an adversarially chosen neighbor of that color. Böckenhauer~et al.~analyzed the minimum number of colors required for successful exploration and proposed an elegant algorithm that enables the agent to explore an arbitrary graph using only eight colors. In this paper, we present a novel graph exploration algorithm that requires only six colors. Furthermore, we prove that five colors are sufficient if we consider only a restricted class of graphs, which we call the $φ$-free graphs, a class that includes every graph with maximum degree at most three and every cactus.

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Publication Details

Journal
ArXiv.org
Published
2025-05-05
DOI
https://doi.org/10.4230/lipics.opodis.2025.32
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Recolorable Graph Exploration by an Oblivious Agent with Fewer Colors

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ArXiv.org
Optimization and Search Problems
article

Recolorable Graph Exploration by an Oblivious Agent with Fewer Colors

Sakiko Hiraoka, Ryota Eguchi, Yuichi Sudo, Haruki Kanaya, Shigeru Takahashi
article en

Abstract

Recently, Böckenhauer, Frei, Unger, and Wehner (SIROCCO 2023) introduced a novel variant of the graph exploration problem in which a single memoryless agent must visit all nodes of an unknown, undirected, and connected graph before returning to its starting node. Unlike the standard model for mobile agents, edges are not labeled with port numbers. Instead, the agent can color its current node and observe the color of each neighboring node. To move, it specifies a target color and then moves to an adversarially chosen neighbor of that color. Böckenhauer~et al.~analyzed the minimum number of colors required for successful exploration and proposed an elegant algorithm that enables the agent to explore an arbitrary graph using only eight colors. In this paper, we present a novel graph exploration algorithm that requires only six colors. Furthermore, we prove that five colors are sufficient if we consider only a restricted class of graphs, which we call the $φ$-free graphs, a class that includes every graph with maximum degree at most three and every cactus.

ArXiv.org
Openalex Percentile: Top 67%
Optimization and Search Problems
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