Normalization/Standardization input data

[krishdotn1]

Is it not a good idea to normalize/standardize the observation space used in the environment for training our model?
The observation space often consists of a much higher number of features [i.e 100000, 180,181.5,180.2......], which can lead the model to be mistrained.

Additionally, computing with higher numbers requires more computational power

@zhumingpassional

Thanks

[zhumingpassional]

pls submit issues on github Wish you all my best. Sincerely, Ming Zhu. Krish Nandan Das ***@***.***> 于2024年3月6日周三 18:41写道：

…

Is it not a good idea to normalize/standardize the observation space used in the environment for training our model? The observation space often consists of a much higher number of features [i.e 100000, 180,181.5,180.2......], which can lead the model to be mistrained. Additionally, computing with higher numbers requires more computational power @zhumingpassional <https://github.com/zhumingpassional> Thanks — Reply to this email directly, view it on GitHub <#1180>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AKNHRO4EETPUSSVIOD52RO3YW3XHLAVCNFSM6AAAAABEIZRHK2VHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZWGMZTANZUGI> . You are receiving this because you were mentioned.Message ID: ***@***.***>