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Yuan Ma, Yiqun Lisa Yin
· 1 min read
ResearcharXiv cs.LG
On the Cyclic Assumption of the Cow-Path Search Algorithm
arXiv:2610.10253v1 Announce Type: cross
Abstract: In the cow-path problem, a cow must find a goal lying at an unknown distance on one of $w$ paths connected only at the origin, and performance is measured by competitive ratio. Kao, Reif and Tate designed an efficient randomized algorithm in which the cow visits the paths in a fixed cyclic order. They proved the algorithm is optimal for $w=2$, and subsequently Kao, Ma, Sipser and Yin proved its optimality for all $w$, with a claim that no algorithm does better than the best cyclic one. This note provides a detailed proof of that claim.
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This story was published by arXiv cs.LG and written by Yuan Ma, Yiqun Lisa Yin. SyncAI.news shows a preview; the complete article is on the publisher's site.
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