In view of students' individual difference in the learning process, in this paper we propose a personalized learning system, to which intelligent Agent technique and case-bas...
This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
— This paper presents an energy back-propagation algorithm (EBP). Learning and convergence processes of the standard backpropagation algorithm (SBP) are based on the energy funct...
: The problem about the synchronization of a finite deterministic automaton is not yet properly understood. The present paper investigates this and related problems within the gene...