<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-03341813</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-26T06:27:39+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Using CNN for solving two-player zero-sum games</title>
            <author role="aut">
              <persName>
                <forename type="first">Dawen</forename>
                <surname>Wu</surname>
              </persName>
              <email type="md5">d9adab90837143140b6007610e84d552</email>
              <email type="domain">centralesupelec.fr</email>
              <idno type="idhal" notation="numeric">1110021</idno>
              <idno type="halauthorid" notation="string">2282365-1110021</idno>
              <affiliation ref="#struct-411575"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Abdel</forename>
                <surname>Lisser</surname>
              </persName>
              <email type="md5">f9048af9dc25411e07ac0b6eb88e7b49</email>
              <email type="domain">l2s.centralesupelec.fr</email>
              <idno type="idhal" notation="string">abdel-lisser</idno>
              <idno type="idhal" notation="numeric">11208</idno>
              <idno type="halauthorid" notation="string">20724-11208</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-1318-6679</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=X05CPd0AAAAJ&amp;hl=fr</idno>
              <idno type="IDREF">https://www.idref.fr/032881983</idno>
              <affiliation ref="#struct-411575"/>
              <affiliation ref="#struct-1051117"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Dawen</forename>
                <surname>Wu</surname>
              </persName>
              <email type="md5">d9adab90837143140b6007610e84d552</email>
              <email type="domain">centralesupelec.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2021-09-13 00:56:45</date>
              <date type="whenModified">2025-02-20 18:00:21</date>
              <date type="whenReleased">2021-09-14 12:26:16</date>
              <date type="whenProduced">2021-09-13</date>
              <date type="whenEndEmbargoed">2021-09-13</date>
              <ref type="file" target="https://hal.science/hal-03341813v1/document">
                <date notBefore="2021-09-13"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-03341813v1/file/CNN_saddle_point_revise__clean_version_.pdf" id="file-3341813-2930659">
                <date notBefore="2021-09-13"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1069579">
                <persName>
                  <forename>Dawen</forename>
                  <surname>Wu</surname>
                </persName>
                <email type="md5">d9adab90837143140b6007610e84d552</email>
                <email type="domain">centralesupelec.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-03341813</idno>
            <idno type="halUri">https://hal.science/hal-03341813</idno>
            <idno type="halBibtex">wu:hal-03341813</idno>
            <idno type="halRefHtml">2021</idno>
            <idno type="halRef">2021</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-3341813-2930659"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="SUP_LSS">Laboratoire des Signaux et Systèmes</idno>
            <idno type="stamp" n="SUP_TELECOMS" corresp="SUP_LSS">Pôle Télécoms et Réseaux</idno>
            <idno type="stamp" n="CENTRALESUPELEC">Ecole CentraleSupélec</idno>
            <idno type="stamp" n="TDS-MACS">Réseau de recherche en Théorie des Systèmes Distribués, Modélisation, Analyse et Contrôle des Systèmes</idno>
            <idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="UNIVERSITE-PARIS-SACLAY" corresp="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="GS-COMPUTER-SCIENCE">Graduate School Computer Science</idno>
            <idno type="stamp" n="GS-SPORT-HUMAN-MOVEMENT">Graduate School Sport, Mouvement, Facteurs Humains</idno>
            <idno type="stamp" n="HUB-IA">Hub Intelligence Artificielle de CentraleSupélec</idno>
          </seriesStmt>
          <notesStmt/>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Using CNN for solving two-player zero-sum games</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Dawen</forename>
                    <surname>Wu</surname>
                  </persName>
                  <email type="md5">d9adab90837143140b6007610e84d552</email>
                  <email type="domain">centralesupelec.fr</email>
                  <idno type="idhal" notation="numeric">1110021</idno>
                  <idno type="halauthorid" notation="string">2282365-1110021</idno>
                  <affiliation ref="#struct-411575"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Abdel</forename>
                    <surname>Lisser</surname>
                  </persName>
                  <email type="md5">f9048af9dc25411e07ac0b6eb88e7b49</email>
                  <email type="domain">l2s.centralesupelec.fr</email>
                  <idno type="idhal" notation="string">abdel-lisser</idno>
                  <idno type="idhal" notation="numeric">11208</idno>
                  <idno type="halauthorid" notation="string">20724-11208</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-1318-6679</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=X05CPd0AAAAJ&amp;hl=fr</idno>
                  <idno type="IDREF">https://www.idref.fr/032881983</idno>
                  <affiliation ref="#struct-411575"/>
                  <affiliation ref="#struct-1051117"/>
                </author>
              </analytic>
              <monogr>
                <imprint/>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Two-player Zero-sum Game</term>
                <term xml:lang="en">Saddle point</term>
                <term xml:lang="en">Convolutional neural network</term>
                <term xml:lang="en">Machine learning</term>
              </keywords>
              <classCode scheme="halDomain" n="math.math-oc">Mathematics [math]/Optimization and Control [math.OC]</classCode>
              <classCode scheme="halDomain" n="info.info-gt">Computer Science [cs]/Computer Science and Game Theory [cs.GT]</classCode>
              <classCode scheme="halDomain" n="stat.ml">Statistics [stat]/Machine Learning [stat.ML]</classCode>
              <classCode scheme="halTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
              <classCode scheme="halOldTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
              <classCode scheme="halTreeTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>We study a two-player zero-sum game (matrix game for short) with the objective to find the saddle point and its value. We develop a novel convolutional neural network (CNN for short) approach to achieve the goal. We propose a complete training pipeline, including a specific CNN model structure to handle varying game size, generating training dataset and model fitting. The experiment results show that our proposed method outperforms the traditional linear programming (LP for short) method in terms of computational efforts.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-411575" status="VALID">
          <idno type="IdRef">184443237</idno>
          <idno type="ROR">https://ror.org/019tcpt25</idno>
          <orgName>CentraleSupélec</orgName>
          <desc>
            <address>
              <addrLine>3, rue Joliot Curie,Plateau de Moulon,91192 GIF-SUR-YVETTE Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.centralesupelec.fr</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-1051117" status="VALID">
          <idno type="IdRef">133818799</idno>
          <idno type="RNSR">199812842X</idno>
          <idno type="ROR">https://ror.org/00skw9v43</idno>
          <orgName>Laboratoire des signaux et systèmes</orgName>
          <orgName type="acronym">L2S</orgName>
          <date type="start">2020-01-01</date>
          <desc>
            <address>
              <addrLine>Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.l2s.centralesupelec.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-411575" type="direct"/>
            <relation active="#struct-419361" type="direct"/>
            <relation name="UMR8506" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-419361" status="VALID">
          <idno type="IdRef">241345251</idno>
          <idno type="ROR">https://ror.org/03xjwb503</idno>
          <orgName>Université Paris-Saclay</orgName>
          <desc>
            <address>
              <addrLine>Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>