Normalization process in Reinforcement Learning

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Hi everyone, I have a question about 'Normalization', I'm asking that how do this process operate in ==>featureInputLayer?
The documentation says us that "Normalization" part is performed automatically. Is that true? Because when the featureInputLayer is created, 'Normalization' is defined "None" as following:
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featureInputLayer(numObservations,'Normalization','none','Name','observation')
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But, How it normalize observations/actions? Can you explain it clearly?
UASS
  3 个评论
Jyo Deshmukh
Jyo Deshmukh 2022-11-23
In fact when I use normalization with any other option, I get an error:
Error using rl.internal.model.DLNetworkModel>localValidateLayer
Set 'Normalization' parameter
of featureInputLayer to 'none'.
Unmanned Aerial and Space Systems
yes, i agree with you, how can we use other options? the question is how we gonna change this option with other?

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