The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
We discuss the design of language tools, and explore new approaches for the development of language-learning environments. We take a standpoint in the learning perspective labelle...
For several years, some teachers of the Statistics' Department at the University of Cordoba, with some last course of technical Industrial Engineering in Computer science pup...