Computational Model of Music Sight Reading: A Reinforcement Learning Approach

Details Computational Model of Music Sight Reading: A Reinforcement Learning Approach Computational Model of Music Sight Reading: A Reinforcement Learning Approach

2010-07-04

arxiv.org/abs/1007.0546v3

Computer Science

Artificial Intelligence

Scientific paper

Although the Music Sight Reading process usually has been studied from the cognitive or neurological view points, but the computational learning methods like the Reinforcement Learning have not yet been used to modeling of such processes. In this paper with regards to essential properties of our specific problem, we consider the value function concept and will indicate that the optimum policy can be obtained by the method we offer without to be getting involved with computing of the complex value functions which are in most of cases inexact. Also, the algorithm we will offer here is somehow a PDE based algorithm which is associated with a stochastic optimization programming and we consider that in this case, this one is more applicable than the normative algorithms like temporal difference method.

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