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Thanks for sharing. Just one question regarding the state space limits. It seems that the net_load could be negative. In that case, shouldn't the normalized state space defined as [-1,1]?
Thanks.
The text was updated successfully, but these errors were encountered:
This doesn't impact the performance according to my experience, state normalization and denormalization is to stable the training by scaling the state into a magnitude that agents can easily handle. But you can try to do some ablation cases using my framework. I did several methods for normalization when running the model, but didnt see any big performance derivations.
Hi, Hou.
Thanks for sharing. Just one question regarding the state space limits. It seems that the net_load could be negative. In that case, shouldn't the normalized state space defined as [-1,1]?
Thanks.
The text was updated successfully, but these errors were encountered: