Could anyone explain to me the role of the parameters of TEDPolicy number_of_transformer_layers Parameter?
In fact, number_of_transformer_layers has the following parameters: text, action_text, label_action_text, dialogue.
What is the meaning of each param? what is the difference between action_text and label_action_text?
Because from this video Rasa Algorithm Whiteboard - TED Policy, I understood that (intent, entity, slot, prev action) arrays are concatenated in a single array. Is this final array corresponding to the dialogue parameter?
I hope you might be able to give me some insights on this.