Please use this identifier to cite or link to this item: doi:10.22028/D291-48283
Volltext verfügbar? / Dokumentlieferung
Title: Iterative Oversubscription Planning with Goal-Conflict Explanations: Scaling Up Through Policy-Guidance Approximation
Author(s): Eifler, Rebecca
Fišer, Daniel
Siji, Aleena
Hoffmann, Jörg
Language: English
Title: Ecai 2024 : 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)
Volume: 392
Pages: 4092-4099
Year of Publication: 2024
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
DOI of the first publication: 10.3233/FAIA240979
Link to this record: urn:nbn:de:bsz:291--ds-482833
hdl:20.500.11880/42233
http://dx.doi.org/10.22028/D291-48283
ISBN: 978-1-64368-548-9
Date of registration: 17-Jul-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Jörg Hoffmann
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.