| dc.contributor.author | Feit, Felix | |
| dc.contributor.author | Metzger, Andreas | |
| dc.contributor.author | Pohl, Klaus | |
| dc.contributor.editor | Engels, Gregor | |
| dc.contributor.editor | Hebig, Regina | |
| dc.contributor.editor | Tichy, Matthias | |
| dc.date.accessioned | 2023-01-18T13:38:39Z | |
| dc.date.available | 2023-01-18T13:38:39Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 978-3-88579-726-5 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/40077 | |
| dc.description.abstract | 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. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering 2023 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-332 | |
| dc.subject | Adaptation | |
| dc.subject | Reinforcement Learning | |
| dc.subject | Explainability | |
| dc.subject | Interpretability | |
| dc.title | Explainable Online Reinforcement Learning for Adaptive Systems | en |
| dc.type | Text/Conference Paper | |
| dc.pubPlace | Bonn | |
| mci.reference.pages | 53-54 | |
| mci.conference.sessiontitle | Wissenschaftliches Hauptprogramm | |
| mci.conference.location | Paderborn | |
| mci.conference.date | 20.–24. Februar 2023 | |
