Minimize surprise MAP-elites : a task-independent MAP-elites variant for swarms

Lade...
Vorschaubild
Dateien
Kaiser_2-e5bhj0wixaci7.pdf
Kaiser_2-e5bhj0wixaci7.pdfGröße: 179.56 KBDownloads: 4
Datum
2022
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
FIELDSEND, Jonathan E., ed.. GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY: ACM, 2022, pp. 116-119. ISBN 978-1-4503-9268-6. Available under: doi: 10.1145/3520304.3528773
Zusammenfassung

Swarm robotics controllers are often automatically generated using methods of evolutionary computation with a task-specific fitness function to guide the optimization process. By contrast, our minimize surprise approach uses a task-independent fitness function to generate diverse behaviors over several independent evolutionary runs. Alternatives are divergent search algorithms rewarding behavioral novelty, such as novelty search, and quality-diversity algorithms generating diverse high-quality solutions, such as MAP-Elites. These approaches usually rely on task-dependent measures. We propose Minimize Surprise MAP-Elites, a task-independent MAP-Elites variant that combines MAP-Elites with our minimize surprise approach. Our first experiments result in high-quality solutions that lead to behavioral diversity across tasks and within tasks.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
GECCO '22 : Genetic and Evolutionary Computation Conference, 9. Juli 2022 - 13. Juli 2022, Boston, MA, USA
Rezension
undefined / . - undefined, undefined
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Datensätze
Zitieren
ISO 690KAISER, Tanja Katharina, Heiko HAMANN, 2022. Minimize surprise MAP-elites : a task-independent MAP-elites variant for swarms. GECCO '22 : Genetic and Evolutionary Computation Conference. Boston, MA, USA, 9. Juli 2022 - 13. Juli 2022. In: FIELDSEND, Jonathan E., ed.. GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY: ACM, 2022, pp. 116-119. ISBN 978-1-4503-9268-6. Available under: doi: 10.1145/3520304.3528773
BibTex
@inproceedings{Kaiser2022Minim-59705,
  year={2022},
  doi={10.1145/3520304.3528773},
  title={Minimize surprise MAP-elites : a task-independent MAP-elites variant for swarms},
  isbn={978-1-4503-9268-6},
  publisher={ACM},
  address={New York, NY},
  booktitle={GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference Companion},
  pages={116--119},
  editor={Fieldsend, Jonathan E.},
  author={Kaiser, Tanja Katharina and Hamann, Heiko}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/59705">
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:title>Minimize surprise MAP-elites : a task-independent MAP-elites variant for swarms</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59705"/>
    <dcterms:abstract xml:lang="eng">Swarm robotics controllers are often automatically generated using methods of evolutionary computation with a task-specific fitness function to guide the optimization process. By contrast, our minimize surprise approach uses a task-independent fitness function to generate diverse behaviors over several independent evolutionary runs. Alternatives are divergent search algorithms rewarding behavioral novelty, such as novelty search, and quality-diversity algorithms generating diverse high-quality solutions, such as MAP-Elites. These approaches usually rely on task-dependent measures. We propose Minimize Surprise MAP-Elites, a task-independent MAP-Elites variant that combines MAP-Elites with our minimize surprise approach. Our first experiments result in high-quality solutions that lead to behavioral diversity across tasks and within tasks.</dcterms:abstract>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-13T08:35:31Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:language>eng</dc:language>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-13T08:35:31Z</dc:date>
    <dc:creator>Kaiser, Tanja Katharina</dc:creator>
    <dcterms:issued>2022</dcterms:issued>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Hamann, Heiko</dc:contributor>
    <dc:creator>Hamann, Heiko</dc:creator>
    <dc:contributor>Kaiser, Tanja Katharina</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59705/1/Kaiser_2-e5bhj0wixaci7.pdf"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59705/1/Kaiser_2-e5bhj0wixaci7.pdf"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen