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On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies
; ;
In
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling ICAPS-24 : June 1–6, 2024, Alberta, Canada / Edited by Sara Bernardini, Christian Muise, Seiten/Artikel-Nr: 31-39
2024
Online
DOI: 10.1609/icaps.v34i1.31458
Einrichtungen
- Lehrstuhl für Maschinelles Lernen und Inferenz (Informatik 6) (122010)
- Fachgruppe Informatik (120000)
Projekte
- AvH 1228833 - ESP - AHP-KI - Alexander von Humboldt-Professur für Künstliche Intelligenz (1228833 - ESP - AHP-KI) (1228833 - ESP - AHP-KI)
- RLeap - From Data-based to Model-based AI: Representation Learning for Planning (885107) (885107)
- TAILOR - Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (952215) (952215)
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85195918322
Interne Identnummern
RWTH-2024-10375
Datensatz-ID: 996087
Beteiligte Länder
Germany, Spain, Sweden
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