Pebble Guided Near Optimal Treasure Hunt in Anonymous Graphs
Barun Gorain, Kaushik Mondal, Himadri Nayak, and Supantha Pandit

TL;DR
This paper presents an algorithm for treasure hunt in anonymous graphs using pebbles, achieving near-optimal search time proportional to the distance and maximum degree, with matching lower bounds.
Contribution
It introduces a pebble-guided treasure hunt algorithm with near-optimal time complexity and bounds the problem's difficulty in anonymous graphs.
Findings
Algorithm finds treasure in near-optimal time $O(D \, \log \Delta + \log^3 \Delta)$
Uses $O(D \log \Delta)$ pebbles to guide the search
Lower bound of $\Omega(D \log \Delta)$ on search time established
Abstract
We study the problem of treasure hunt in a graph by a mobile agent. The nodes in the graph are anonymous and the edges at any node of degree are labeled arbitrarily as . A mobile agent, starting from a node, must find a stationary object, called {\it treasure} that is located on an unknown node at a distance from its initial position. The agent finds the treasure when it reaches the node where the treasure is present. The {\it time} of treasure hunt is defined as the number of edges the agent visits before it finds the treasure. The agent does not have any prior knowledge about the graph or the position of the treasure. An Oracle, that knows the graph, the initial position of the agent, and the position of the treasure, places some pebbles on the nodes, at most one per node, of the graph to guide the agent towards the treasure. We target to…
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