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Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains

;

In
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence : Jeju, Korea, 3-9 August 2024 / edited by Kate Larson ; sponsored by International Joint Conferences on Artifical Intelligence (IJCAI), Seiten/Artikel-Nr: 6733-6742

Konferenz/Event:33. International Joint Conference on Artificial Intelligence , Jeju , South Korea , IJCAI 2024 , 2023-08-03 - 2023-08-09

ImpressumVienna, Austria : International Joint Conferences on Artificial Intelligence

Umfang6733-6742

ISBN978-1-956792-04-1

Online
DOI: 10.24963/ijcai.2024/744


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: W4401024911

Interne Identnummern
RWTH-2024-10377
Datensatz-ID: 996089

Beteiligte Länder
Germany

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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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