Preprocessing for Reinforcement Learning

Hi Everyone!

After training a model with reinforcment, how would one scale the data for predictions? Would yon not need to apply the same scaler that was used on the training dataset?

I think you would need to use scikit-learn’s Standard scaler and store the fit_transform result.

Any suggestions?

I think pickling the scaler would work.