Actually, The policy is run both during training and during action prediction. During training, The neural network is trained with the provided stories, and during prediction the neural network transforms the vector of features (intents, slots and previous actions) into the vector of probabilities for each action. Then, the highest probability is chosen.
Cekir
(Krzysztof Bączkiewicz)
2
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