Online Search with Maximum Clearance

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Abstract

We study the setting in which a mobile agent must locate a hidden target in a bounded or unbounded environment, with no information about the hider’s position. In particular, we consider online search, in which the performance of the search strategy is evaluated by its worst case competitive ratio. We introduce a multi-criteria search problem in which the searcher has a budget on its allotted search time, and the objective is to design strategies that are competitively efficient, respect the budget, and maximize the total searched ground. We give analytically optimal strategies for the line and the star environments, and efficient heuristics for general networks.

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APA

Angelopoulos, S., & Voss, M. (2021). Online Search with Maximum Clearance. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 5A, pp. 3642–3650). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v35i5.16480

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