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Learning to Ground Existentially Quantified Goals

; ;

In
KR 2024 : proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning : Hanoi, Vietnam. November 2-8, 2024 / Edited by Pierre Marquis, Magdalena Ortiz, Maurice Pagnucco, Seiten/Artikel-Nr: 856-866

Konferenz/Event:21. International Conference on Principles of Knowledge Representation and Reasoning , Hanoi , Vietnam , KR 2024 , 2024-11-02 - 2024-11-08

: IJCAI Organization

Umfang856-866

ISBN978-1-956792-05-8

Online
DOI: 10.24963/kr.2024/80


Einrichtungen

  1. Lehrstuhl für Maschinelles Lernen und Inferenz (Informatik 6) (122010)
  2. Fachgruppe Informatik (120000)

Projekte

  1. AvH 1228833 - ESP - AHP-KI - Alexander von Humboldt-Professur für Künstliche Intelligenz (1228833 - ESP - AHP-KI) (1228833 - ESP - AHP-KI)
  2. RLeap - From Data-based to Model-based AI: Representation Learning for Planning (885107) (885107)


Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
OpenAlex: W4403792785

Interne Identnummern
RWTH-2024-10381
Datensatz-ID: 996093

Beteiligte Länder
Germany, Sweden

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Computer Science (Fac.9)
Public records
Publications database
120000
122010
 Record created 2024-11-04, last modified 2026-09-14
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