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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 5
2015
Szörényi, Balázs; Busa-Fekete, Róbert; Weng, Paul und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2015):
Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
32nd International Conference on Machine Learning, Lille, France, July 6 - 11, 2015.
In: Proceedings of the 32nd International Conference on Machine Learning,
Bd. 37
S. 1660-1668
[PDF, 449kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2015):
Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
32nd International Conference on Machine Learning, Lille, France, July 6 - 11, 2015.
In: Proceedings of the 32nd International Conference on Machine Learning,
Bd. 37
S. 1660-1668
[PDF, 449kB]
2014
Busa-Fekete, Róbert; Szörényi, Balázs; Weng, Paul; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
In: Machine Learning, Bd. 97, Nr. 3: S. 327-351
ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
In: Machine Learning, Bd. 97, Nr. 3: S. 327-351
2013
Busa-Fekete, Róbert; Szörényi, Balázs; Cheng, Weiwei; Weng, Paul und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Top-k Selection based on Adaptive Sampling of Noisy Preferences.
ICML'13: 30th International Conference on International Conference on Machine Learning, Atlanta GA USA, June 16 - 21, 2013.
Dasgupta, Sanjoy und McAllester, David (Hrsg.):
In: Proceedings of the 30th International Conference on International Conference on Machine Learning,
Bd. 28, Nr. 3
S. 1094-1102
[PDF, 434kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Top-k Selection based on Adaptive Sampling of Noisy Preferences.
ICML'13: 30th International Conference on International Conference on Machine Learning, Atlanta GA USA, June 16 - 21, 2013.
Dasgupta, Sanjoy und McAllester, David (Hrsg.):
In: Proceedings of the 30th International Conference on International Conference on Machine Learning,
Bd. 28, Nr. 3
S. 1094-1102
[PDF, 434kB]
Weng, Paul; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, Prague, 23rd September 2013.
S. 1-13
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, Prague, 23rd September 2013.
S. 1-13
Weng, Paul; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Preference-based Evolutionary Direct Policy Search.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, Prague, 23rd September 2013.
S. 1-8
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Preference-based Evolutionary Direct Policy Search.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, Prague, 23rd September 2013.
S. 1-8