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Timo Bertram
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Year
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
T Bertram, J Fürnkranz, M Müller
2021 IEEE Conference on Games (CoG), 1-9, 2021
92021
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess
T Bertram, J Fürnkranz, M Müller
2022 IEEE Conference on Games (CoG), 608-611, 2022
52022
The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022
RW Gardner, G Perrotta, A Shah, S Kalyanakrishnan, KA Wang, G Clark, ...
NeurIPS 2022 Competition Track, 119-132, 2022
12022
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems
T Bertram, J Fürnkranz, M Müller
ICML 2021 SubSetML: Subset Selection in Machine Learning: From Theory to …, 2021
12021
Weighting Information Sets with Siamese Neural Networks in Reconnaissance Blind Chess
T Bertram, J Fürnkranz, M Müller
2023 IEEE Conference on Games (CoG), 1-8, 2023
2023
Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability
T Bertram, J Fürnkranz, M Müller
arXiv preprint arXiv:2204.09462, 2022
2022
Hendrik Baier Intelligent and Autonomous Systems, CWI Amsterdam Alok Baikadi Pearson Anastasios Bakaoukas University of Northampton Ágnes Karolina Bakk Moholy-Nagy University …
S Bakkes, F Balducci, JT Balint, C Bamford, F Banterle, NA Barriga, ...
IEEE Conference on G 1 (2), 0, 0
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