Hi, there! In the Rasa’s website, it tells us as follows: " The
KerasPolicy uses a neural network implemented in Keras to select the next action. The default architecture is based on an LSTM…" (please refer to the website: Policies)
Actually, this KerasPolicy is filled in a file “config.yml” which is introduced in NLU-training stage (not in dialog management stage or we say Rasa-Core stage). But, the stories dataset are trained in Rasa-Core stage. My problem is: How does this KerasPolicy be explained in predicting(or select) the next action of stories? (because these two models in NLU and dialog-management stages are seems independent.) It seems that stories are dependent on NLU-stage again(this is a little confuse for me!). thanks a lot.