Anzahl der Publikationen: 2
Konferenzbeitrag
Winkel, David
ORCID: https://orcid.org/0000-0001-8829-0863; Strauß, Niklas
ORCID: https://orcid.org/0000-0002-8083-7323; Schubert, Matthias
ORCID: https://orcid.org/0000-0002-6566-6343 und Seidl, Thomas
ORCID: https://orcid.org/0000-0002-4861-1412
(2023):
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022.
In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings,
Bd. 13718
Cham: Springer. S. 185-200
Strauss, Niklas
ORCID: https://orcid.org/0000-0002-8083-7323; Winkel, David
ORCID: https://orcid.org/0000-0001-8829-0863; Berrendorf, Max
ORCID: https://orcid.org/0000-0001-9724-4009 und Schubert, Matthias
ORCID: https://orcid.org/0000-0002-6566-6343
(2023):
Reinforcement Learning for Multi-Agent Stochastic Resource Collection.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France, 19. - 23. September 2022.
Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Kralj Novak, Petra und Tsoumakas, Grigorios (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science
Bd. 13716
Cham: Springer. S. 200-215
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