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        <identifier>oai:drops-oai.dagstuhl.de:14386</identifier>
        <datestamp>2024-03-06T10:54:16Z</datestamp>
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          <dc:title>Fragility and Robustness in Mean-Payoff Adversarial Stackelberg Games</dc:title>
          <dc:creator>Balachander, Mrudula</dc:creator>
          <dc:creator>Guha, Shibashis</dc:creator>
          <dc:creator>Raskin, Jean-François</dc:creator>
          <dc:subject>mean-payoff</dc:subject>
          <dc:subject>Stackelberg games</dc:subject>
          <dc:subject>synthesis</dc:subject>
          <dc:description>Two-player mean-payoff Stackelberg games are nonzero-sum infinite duration games played on a bi-weighted graph by Leader (Player 0) and Follower (Player 1). Such games are played sequentially: first, Leader announces her strategy, second, Follower chooses his best-response. If we cannot impose which best-response is chosen by Follower, we say that Follower, though strategic, is adversarial towards Leader. The maximal value that Leader can get in this nonzero-sum game is called the adversarial Stackelberg value (ASV) of the game.&#13;
We study the robustness of strategies for Leader in these games against two types of deviations: (i) Modeling imprecision - the weights on the edges of the game arena may not be exactly correct, they may be delta-away from the right one. (ii) Sub-optimal response - Follower may play epsilon-optimal best-responses instead of perfect best-responses. First, we show that if the game is zero-sum then robustness is guaranteed while in the nonzero-sum case, optimal strategies for ASV are fragile. Second, we provide a solution concept to obtain strategies for Leader that are robust to both modeling imprecision, and as well as to the epsilon-optimal responses of Follower, and study several properties and algorithmic problems related to this solution concept.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Mrudula Balachander and Shibashis Guha and Jean-François Raskin</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 203, 32nd International Conference on Concurrency Theory (CONCUR 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CONCUR.2021.9</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-143863</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2021.9</dc:identifier>
          <dc:language>eng</dc:language>
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