Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/220855
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Titel: 
OFTEN-DEEPRL: On-the-Fly Teaching of Ethical Norms to Deep Reinforcement Learning Agents
en
Zitat: 
Lopez-Miguel, I. D., Adam, S. P., Bartocci, E., Eiter, T., & Tappler, M. (2025). OFTEN-DEEPRL: On-the-Fly Teaching of Ethical Norms to Deep Reinforcement Learning Agents. In ECAI 2025 : 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy : Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) (pp. 3315–3322). https://doi.org/10.3233/FAIA251200
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Verlags-DOI: 
10.3233/FAIA251200
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Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
de
Sprache: 
Englisch
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Autor_innen: 
Lopez-Miguel, Ignacio D. 
Adam, Sebastian Philipp 
Bartocci, Ezio 
Eiter, Thomas 
Tappler, Martin 
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Organisations­einheit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
E192-03 - Forschungsbereich Knowledge Based Systems 
E056-13 - Fachbereich LogiCS 
E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems 
E056-26 - Fachbereich Automated Reasoning 
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Erschienen in: 
ECAI 2025 : 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy : Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) 
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ISBN: 
9781643686318
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Band: 
413
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Datum (veröffentlicht): 
2025
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Veranstaltungs­name: 
28th European Conference on Artificial Intelligence (ECAI 2025) 
en
Veranstaltungs­zeitraum: 
25-Okt-2025 - 30-Okt-2025
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Veranstaltungs­ort: 
Bologna, Italien
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Umfang: 
8
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Peer Reviewed: 
Ja
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Keywords: 
ethical reinforcement learning; norm-guided training; deep reinforcement learning; AI agents; answer set programming; logic-based planning; policy adaptation; safe autonomous systems
en
Projekttitel: 
Training and Guiding AI Agents with Ethical Rules: ICT22-023 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Logics for Computer Science Program at TU Wien: 101034440 (European Commission) 
Bilateral Artificial Intelligence: COE 12 (FWF - Österr. Wissenschaftsfonds) 
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Forschungs­schwerpunkte: 
Logic and Computation: 50%
Computer Engineering and Software-Intensive Systems: 50%
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Wissenschafts­zweig: 
1010 - Mathematik: 100%
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Enthalten in den Sammlungen:
Conference Paper

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