Persona-agnostic meta-learning (PAML) We define the persona meta-dataset as D =   Compute adapted parameters with gradient descent: end for 9: where α is learning of the inner optimization, and the training loss.
crossentropy loss is used for training the response generation: The meta-learning model is then trained to maximize the performance of the adapted model f θ p i to the unseen dialogues in D valid p i .