Normalization process in Reinforcement Learning
5 次查看(过去 30 天)
显示 更早的评论
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:
----------------------------------------------------------------------------------
featureInputLayer(numObservations,'Normalization','none','Name','observation')
----------------------------------------------------------------------------------
But, How it normalize observations/actions? Can you explain it clearly?
UASS
3 个评论
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'.
回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!