23 citations · 44 across the 3 of their papers we have counts for
3 papers
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games
Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki +1
We study two-player general sum repeated finite games where the rewards of each player are generated from an unknown distribution. Our aim is to find the egalitarian bargaining sol…
The Atari Grand Challenge Dataset
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann +2
Recent progress in Reinforcement Learning (RL), fueled by its combination, with Deep Learning has enabled impressive results in learning to interact with complex virtual environmen…
Contextual Dueling Bandits
Miroslav Dudík, Katja Hofmann, Robert E. Schapire +2
We consider the problem of learning to choose actions using contextual information when provided with limited feedback in the form of relative pairwise comparisons. We study this p…