This paper investigates an attempt to combine different simulation tools in order to build a simulation environment that can be used to model complex system behaviour. The compone...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
—In highly dynamic environments like academy and industry it is becoming essential the need of efficient systems for resources organization and discovery. In this paper we descr...
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
The notion of fixed-parameter approximation is introduced to investigate the approximability of optimization problems within the framework of fixed-parameter computation. This work...