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Optional Feature Vector Generation for Linear Value Function Approximation with Binary Features

Published in Advanced materials research • Sep 1, 2013
NobleIDNI7P33W00R23S89
Authors:
Bo Ren
,
Zheng Qin
,
Feng Zhao

Abstract

Linear value function approximation with binary features is important in the research of Reinforcement Learning (RL). When updating the value function, it is necessary to generate a feature vector which contains the features that should be updated. In high dimensional domains, the generation process...

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