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Learning the Parameters of Reinforcement Learning from Data for Adaptive Spoken Dialogue Systems. (Apprentissage automatique des paramètres de l'apprentissage par renforcement pour les systèmes de dialogues adaptatifs).. University of Lorraine, Nancy, France, (2016)Keep Drawing It: Iterative language-based image generation and editing., , , , , , , и . CoRR, (2018)SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks., , и . NeurIPS, стр. 22667-22681. (2021)Diverse Keyphrase Generation with Neural Unlikelihood Training., и . COLING, стр. 5271-5287. International Committee on Computational Linguistics, (2020)A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems., , и . INTERSPEECH, стр. 1151-1155. ISCA, (2016)Will my Spoken Dialogue System be a Slow Learner ?, и . SIGDIAL Conference, стр. 97-101. The Association for Computer Linguistics, (2013)Reward Shaping for Statistical Optimisation of Dialogue Management., , и . SLSP, том 7978 из Lecture Notes in Computer Science, стр. 93-101. Springer, (2013)Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory., , и . IWSDS, том 427 из Lecture Notes in Electrical Engineering, стр. 39-51. Springer, (2016)A Study of State Aliasing in Structured Prediction with RNNs., и . DeepRLStructPred@ICLR, OpenReview.net, (2019)DINASTI: Dialogues with a Negotiating Appointment Setting Interface., , и . LREC, стр. 272-278. European Language Resources Association (ELRA), (2014)