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The objective of transfer reinforcement learning is to generalize from a set of previous tasks to unseen new tasks. In this work… Expand This paper shows how to implement a combination of Q-learning and backpropagation on the case of agent learning to play Flappy… Expand The paper gives a cross-linguistic analysis of approximations in English and Armenian, particularly in the sphere of numerical… Expand Transports on rail are increasing and major railway infrast ructure investments are expected. An important part of this… Expand A new learning algorithm for fuzzy neural network (FNN) systems to approximate unknown nonlinear continuous functions is proposed… Expand Minimally invasive surgery has become the dominant surgical procedure for cholecystectomy and many
gynecological procedures. It… Expand Minimally invasive surgery has become the dominant surgical procedure for cholecystectomy and many gynecological procedures. It… Expand This is an account of the steps one goes through in the development of a new device or instrument. It starts with the conditions… Expand In this paper an outline is given of a modelling approach, using neurofuzzy networks, to be used in an intelligent oncology… Expand The technique of intubation of the lacrimal pathways can be facilitated by using a Piza approximator for connection of the ring… Expand