On the competitiveness of memoryless strategies for the k-Canadian traveller problem

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Abstract

The k-Canadian Traveller Problem (k -CTP), proven PSPACE-complete by Papadimitriou and Yannakakis, is a generalization of the Shortest Path Problem which admits blocked edges. Its objective is to determine the strategy that makes the traveller traverse graph G between two given nodes s and t with the minimal distance, knowing that at most k edges are blocked. The traveller discovers that an edge is blocked when arriving at one of its endpoints. We study the competitiveness of randomized memoryless strategies to solve the k -CTP. Memoryless strategies are attractive in practice as a decision made by the strategy for a traveller in node v of G does not depend on his anterior moves. We establish that the competitive ratio of any randomized memoryless strategy cannot be better than 2k + O (1). This means that randomized memoryless strategies are asymptotically as competitive as deterministic strategies which achieve a ratio 2k+1 at best.

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Bergé, P., Hemery, J., Rimmel, A., & Tomasik, J. (2018). On the competitiveness of memoryless strategies for the k-Canadian traveller problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11346 LNCS, pp. 566–576). Springer Verlag. https://doi.org/10.1007/978-3-030-04651-4_38

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