h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Satisficing and Optimal Generalised Planning via Goal Regression

; ; ;

In
AAAI-26 Technical Tracks 43 : Fortieth AAAI Conference on Artificial Intelligence Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence Sixteenth Symposium on Educational Advances in Artificial Intelligence / Edited by Sven Koenig, Chad Jenkins, Matthew E. Taylor, Seiten/Artikel-Nr: 36197-36206

Konferenz/Event:40. AAAI Conference on Artificial Intelligence , Singapore , Singapore , 2026-01-20 - 2026-01-27

Umfang36197-36206

ISBN1-57735-906-2, 978-1-57735-906-7

ReiheProceedings of the AAAI Conference on Artificial Intelligence ; 40,43

Online
DOI: 10.1609/aaai.v40i43.40938


Einrichtungen

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

Projekte

  1. GSO101 - Generalized Planning with Temporally Extended Goals and Lifted Reward Machines (EXS-TvK-GSO101) (EXS-TvK-GSO101)
  2. ERS TvK (EXS) - Theodore von Kármán Fellowships (EXS) (EXS-TvK) (EXS-TvK)
  3. EXS - Excellence Strategy (EXS) (EXS)


Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105034891907

Interne Identnummern
RWTH-2026-05284
Datensatz-ID: 1036037

 GO

QR Code for this record

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)
Documents in print
Public records
122010
 Record created 2026-05-19, last modified 2026-05-20
Similar records



Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)