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Sketch Decompositions for Classical Planning via Deep Reinforcement Learning

Aichmüller, Michael (Corresponding author)^RWTH* ; Geffner, Hector (Corresponding author)^RWTH*

In
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence : Montreal, Canada, 16-22 August 2025 : with satellite event in Guangzhou, China, 29-31 August 2025 / edited by James Kwok ; sponsored by International Joint Conferences on Artifical Intelligence (IJCAI), Seiten/Artikel-Nr: 8438-8446

2025

Konferenz/Event:34. International Joint Conference on Artificial Intelligence , Montreal , Canada , IJCAI 2025 , 2025-08-16 - 2025-08-22

Konferenz/Event:34. International Joint Conference on Artificial Intelligence , Guangzhou , Peoples R China , IJCAI 2025 , 2025-08-16 - 2025-08-22

ImpressumVienna, Austria : International Joint Conferences on Artificial Intelligence

Umfang8438-8446

ISBN978-1-956792-06-5

Online
DOI: 10.24963/ijcai.2025/938
10.24963/ijcai.2025/938

Einrichtungen

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

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105021815308
WOS Core Collection: WOS:001634925300296

Interne Identnummern
RWTH-2026-00682
Datensatz-ID: 1026134

Beteiligte Länder
Germany