arXiv 1007.05482010-07cs.LGcs.NE

A Reinforcement Learning Model Using Neural Networks for Music Sight Reading Learning Problem

Keyvan Yahya, Pouyan Rafiei Fard

备注：: This paper is withdrawn because of its lack of novelty

英文摘要：

Music Sight Reading is a complex process in which when it is occurred in the brain some learning attributes would be emerged. Besides giving a model based on actor-critic method in the Reinforcement Learning, the agent is considered to have a neural network structure. We studied on where the sight reading process is happened and also a serious problem which is how the synaptic weights would be adjusted through the learning process. The model we offer here is a computational model on which an updated weights equation to fix the weights is accompanied too.

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