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        <datestamp>2024-03-06T10:57:01Z</datestamp>
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          <dc:title>Mirror Games Against an Open Book Player</dc:title>
          <dc:creator>Magen, Roey</dc:creator>
          <dc:creator>Naor, Moni</dc:creator>
          <dc:subject>Mirror Games</dc:subject>
          <dc:subject>Space Complexity</dc:subject>
          <dc:subject>Eventown-Oddtown</dc:subject>
          <dc:description>Mirror games were invented by Garg and Schnieder (ITCS 2019). Alice and Bob take turns (with Alice playing first) in declaring numbers from the set {1,2, …, 2n}. If a player picks a number that was previously played, that player loses and the other player wins. If all numbers are declared without repetition, the result is a draw. Bob has a simple mirror strategy that assures he won't lose and requires no memory. On the other hand, Garg and Schenier showed that every deterministic Alice needs memory of size linear in n in order to secure a draw.&#13;
Regarding probabilistic strategies, previous work showed that a model where Alice has access to a secret random perfect matching over {1,2, …, 2n} allows her to achieve a draw in the game w.p. a least 1-1/n and using only polylog bits of memory. &#13;
We show that the requirement for secret bits is crucial: for an "open book" Alice with no secrets (Bob knows her memory but not future coin flips) and memory of at most n/4c bits for any c ≥ 2, there is a Bob that wins w.p. close to 1-{2^{-c/2}}.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Roey Magen and Moni Naor</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 226, 11th International Conference on Fun with Algorithms (FUN 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FUN.2022.20</dc:identifier>
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          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2022.20</dc:identifier>
          <dc:language>eng</dc:language>
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