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Timo Bertram

Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets

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Jul 08, 2024
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Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess

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Jul 08, 2024
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Contrastive Learning of Preferences with a Contextual InfoNCE Loss

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Jul 08, 2024
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Learning With Generalised Card Representations for "Magic: The Gathering"

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Jul 08, 2024
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Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess

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Aug 03, 2022
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Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability

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Apr 20, 2022
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A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems

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Jul 09, 2021
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Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking

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May 25, 2021
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