Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
We propose a framework for multi-issue bilateral negotiation, where issues are expressed and related to each other via Description Logics. Agents’ goals are expressed through (c...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
A team of agents is jointly able to achieve a goal if despite any incomplete knowledge they may have about the world or each other, they still know enough to be able to get to a g...
Hojjat Ghaderi, Hector J. Levesque, Yves Lesp&eacu...
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a Reprod...
Arthur Gretton, Karsten M. Borgwardt, Malte J. Ras...