1 citations · 1 across the 4 of their papers we have counts for
4 papers
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess
Timo Bertram, Johannes Fürnkranz, Martin Müller
In this work, we adapt a training approach inspired by the original AlphaGo system to play the imperfect information game of Reconnaissance Blind Chess. Using only the observations…
Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability
Timo Bertram, Johannes Fürnkranz, Martin Müller
In this paper, we study learning in probabilistic domains where the learner may receive incorrect labels but can improve the reliability of labels by repeatedly sampling them. In s…
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems
Timo Bertram, Johannes Fürnkranz, Martin Müller
In this paper, we study the problem of evaluating the addition of elements to a set. This problem is difficult, because it can, in the general case, not be reduced to unconditional…
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
Timo Bertram, Johannes Fürnkranz, Martin Müller
Drafting, i.e., the selection of a subset of items from a larger candidate set, is a key element of many games and related problems. It encompasses team formation in sports or e-sp…