Dense Rewards and Continual Reinforcement Learning for Task-oriented Dialogue Policies
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Düsseldorf, Heinrich-Heine-Universität, Dissertation, 2024
- Schlagwort
-
Neuronales Netz
Bestärkendes Lernen
Maschinelles Lernen
Dialogsystem
Lernendes System
Mensch-Maschine-Kommunikation
- Ereignis
-
Veröffentlichung
- (wo)
-
Düsseldorf
- (wer)
-
Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
-
Gasic, Milica
Hakkani-Tür, Dilek
- URN
-
urn:nbn:de:hbz:061-20240429-082103-6
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:44 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Geishauser, Christian
- Gasic, Milica
- Hakkani-Tür, Dilek
- Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
Entstanden
- 2024
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