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<titleInfo><title>An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS</title></titleInfo>


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<name type="personal">
  <namePart type="given">Tim</namePart>
  <namePart type="family">Hansmeier</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">49992</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-1377-3339</description></name>
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  <namePart type="given">Marco</namePart>
  <namePart type="family">Platzner</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">398</identifier></name>







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<name type="conference">
  <namePart>International Workshop on Learning Classifier Systems (IWLCS 2021)</namePart>
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  <namePart>SFB 901 - Project Area C</namePart>
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  <namePart>SFB 901</namePart>
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  <namePart>SFB 901 - Subproject C2</namePart>
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<originInfo><publisher>Association for Computing Machinery (ACM)</publisher><dateIssued encoding="w3cdtf">2021</dateIssued><place><placeTerm type="text">Lille, France</placeTerm></place>
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<relatedItem type="host"><titleInfo><title>GECCO &apos;21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</title></titleInfo>
  <identifier type="isbn">978-1-4503-8351-6</identifier><identifier type="doi">10.1145/3449726.3463159</identifier>
<part><extent unit="pages">1639–1647</extent>
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<ieee>T. Hansmeier and M. Platzner, “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS,” in &lt;i&gt;GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion&lt;/i&gt;, Lille, France, 2021, pp. 1639–1647, doi: &lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;10.1145/3449726.3463159&lt;/a&gt;.</ieee>
<apa>Hansmeier, T., &amp;#38; Platzner, M. (2021). An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. &lt;i&gt;GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion&lt;/i&gt;, 1639–1647. &lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;https://doi.org/10.1145/3449726.3463159&lt;/a&gt;</apa>
<chicago>Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” In &lt;i&gt;GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion&lt;/i&gt;, 1639–1647. New York, NY, United States: Association for Computing Machinery (ACM), 2021. &lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;https://doi.org/10.1145/3449726.3463159&lt;/a&gt;.</chicago>
<short>T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.</short>
<mla>Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” &lt;i&gt;GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion&lt;/i&gt;, Association for Computing Machinery (ACM), 2021, pp. 1639–1647, doi:&lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;10.1145/3449726.3463159&lt;/a&gt;.</mla>
<bibtex>@inproceedings{Hansmeier_Platzner_2021, place={New York, NY, United States}, title={An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS}, DOI={&lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;10.1145/3449726.3463159&lt;/a&gt;}, booktitle={GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim and Platzner, Marco}, year={2021}, pages={1639–1647} }</bibtex>
<ama>Hansmeier T, Platzner M. An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. In: &lt;i&gt;GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion&lt;/i&gt;. Association for Computing Machinery (ACM); 2021:1639–1647. doi:&lt;a href=&quot;https://doi.org/10.1145/3449726.3463159&quot;&gt;10.1145/3449726.3463159&lt;/a&gt;</ama>
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