16 citations · 19 across the 5 of their papers we have counts for
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cs.AI2022
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…
cs.AI2021
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…