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    <title>saddle point</title>
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      <title>Saddle Point Conditions for Antagonistic Positional Games in Complex Markov Decision Processes</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=4641</link>
      <description>A class of stochastic antagonistic positional games for Markov decision processes with average and expected total discounted costs optimization criteria are formu lated and studied. Saddle point conditions in the considered class of games that extend saddle point conditions for deterministic parity games are derived. Further more algorithms for determining the optimal stationary strategies of the players are proposed and grounded  </description>
      <pubDate>Mon, 14 Oct 2024 15:41:10 +0200</pubDate>
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