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          <dc:title>Approximate Pure Nash Equilibria in Weighted Congestion Games</dc:title>
          <dc:creator>Hansknecht, Christoph</dc:creator>
          <dc:creator>Klimm, Max</dc:creator>
          <dc:creator>Skopalik, Alexander</dc:creator>
          <dc:subject>Congestion game</dc:subject>
          <dc:subject>Pure Nash equilibrium</dc:subject>
          <dc:subject>Approximate equilibrium</dc:subject>
          <dc:subject>Existence</dc:subject>
          <dc:subject>Potential function</dc:subject>
          <dc:description>We study the existence of approximate pure Nash equilibria in weighted congestion games and develop techniques to obtain approximate potential functions that prove the existence of alpha-approximate pure Nash equilibria and the convergence of alpha-improvement steps. Specifically, we show how to obtain upper bounds for approximation factor alpha for a given class of cost functions. For example for concave cost functions the factor is at most 3/2, for quadratic cost functions it is at most 4/3, and for polynomial cost functions of maximal degree d it is at at most d + 1. For games with two players we obtain tight bounds which are as small as for example 1.054 in the case of quadratic cost functions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Christoph Hansknecht and Max Klimm and Alexander Skopalik</dc:contributor>
          <dc:date>2014</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 28, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2014)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX-RANDOM.2014.242</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-47005</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2014.242</dc:identifier>
          <dc:language>eng</dc:language>
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