— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
In the recent decades the importance of the information systems (IS) has been steadily growing. Nowadays most of the operations that imply complex manipulations with data and stor...
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from the perspective of algorithmic mechanism desig...
Semantic Web research aims at bridging the gap between how humans and agents process information readily available on the Internet. One of the great challenges to this goal lies i...
In this work, we deal with blind source separation of a class of nonlinear mixtures. The proposed method can be regarded as an adaptation of the solutions developed in [1, 2] to th...