: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
This paper reports on a feasibility study into the evolution of robot controllers during the actual operation of robots (on-line), using only the computational resources within the...
In this paper we study on-line windows scheduling (WS) of temporary items. In a broadcasting system, there are some broadcast channels, each can broadcast one item in one time unit...
In this paper we introduce a generalization of Paging to the case where there are many threads of requests. This models situations in which the requests come from more than one ind...
Esteban Feuerstein, Alejandro Strejilevich de Loma
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...