Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
One ideal of configuration management is to specify only desired behavior in a high-level language, while an automatic configuration management system assures that behavior on an ...
Starting from a modular artificial neural system modelling the integration of several perceptive stimuli, this article proposes a new implementation of the central module performi...
Abstract: We present a new algorithm for automatic test generation for multicast routing. Our algorithm processes a nite state machine (FSM) model of the protocol and uses a mix of...