Explainable Online Reinforcement Learning for Adaptive Systems
Zusammenfassung
This talk presents our work on explainable online reinforcement learning for self-adaptive systems published at the 3rd IEEE Intl. Conf. on Autonomic Computing and Self-Organizing Systems.
- Vollständige Referenz
- BibTeX
Feit, F., Metzger, A. & Pohl, K.,
(2023).
Explainable Online Reinforcement Learning for Adaptive Systems.
In:
Engels, G., Hebig, R. & Tichy, M.
(Hrsg.),
Software Engineering 2023.
Bonn:
Gesellschaft für Informatik e.V..
(S. 53-54).
@inproceedings{mci/Feit2023,
author = {Feit, Felix AND Metzger, Andreas AND Pohl, Klaus},
title = {Explainable Online Reinforcement Learning for Adaptive Systems},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 53-54 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Feit, Felix AND Metzger, Andreas AND Pohl, Klaus},
title = {Explainable Online Reinforcement Learning for Adaptive Systems},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 53-54 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-726-5
ISSN: 1617-5468
Datum: 2023
Sprache: (en)
Typ: Text/Conference Paper