Feit, Felix; Metzger, Andreas; Pohl, Klaus:
Explainable Online Reinforcement Learning for Adaptive Systems
In: Software Engineering 2023 / Engels, Gregor; Hebig, Regina; Tichy, Matthias (Eds.). - Software Engineering 2023 : 20.-24. Februar 2023 Paderborn - Bonn: Köllen, 2023 - (GI-Edition : Proceedings ; 332), pp. 53 - 54
2023book article/chapter in ProceedingsOA Gold
Computer ScienceFaculty of Business Administration and Economics » Computer Science » Software Systems EngineeringScientific institutes » paluno - The Ruhr Institute for Software Technology
Title in English:
Explainable Online Reinforcement Learning for Adaptive Systems
Author:
Feit, Felix
;Metzger, AndreasUDE
GND
129831530
LSF ID
12274
ORCID
0000-0002-4808-8297ORCID iD
Other
connected with university
;Pohl, KlausUDE
GND
135789125
LSF ID
5105
ORCID
0000-0003-2199-5257ORCID iD
Other
connected with university
Year of publication:
2023
Open Access?:
OA Gold
Scopus ID
85150028793
WWW URL:
https://dspace.gi.de/handle/20.500.12116/40077
Language of text:
English
Appears in
Software Engineering 2023
Conference
Software Engineering 2023 : 20.-24. Februar 2023 Paderborn
Editor:
Engels, Gregor;Hebig, Regina;Tichy, Matthias
Place of publication:
Bonn
Publisher:
Köllen
Year of publication:
2023
in:
pp. 53 - 54
ISBN
978-3-88579-726-5
ISBN
3-88579-726-7
Language of text:
English
In Series
GI-Edition : Proceedings
in:
Vol. 332
Keyword, Topic:
Adaptation ; Explainability ; Interpretability ; Reinforcement Learning