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Multi-task sequence to sequence learning, , , , и . arXiv preprint arXiv:1511.06114, (2015)Dota 2 with Large Scale Deep Reinforcement Learning., , , , , , , , , и 15 other автор(ы). CoRR, (2019)An Empirical Exploration of Recurrent Network Architectures, , и . ICML, (2015)Language models are unsupervised multitask learners, , , , , и . (2019)An Empirical Exploration of Recurrent Network Architectures., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 2342-2350. JMLR.org, (2015)On the importance of initialization and momentum in deep learning., , , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 1139-1147. JMLR.org, (2013)Neural Programmer: Inducing Latent Programs with Gradient Descent., , и . ICLR (Poster), (2016)Modelling Relational Data using Bayesian Clustered Tensor Factorization., , и . NIPS, стр. 1821-1828. Curran Associates, Inc., (2009)Move Evaluation in Go Using Deep Convolutional Neural Networks, , , и . (2014)cite arxiv:1412.6564Comment: Minor edits and included captures in Figure 2.Addressing the Rare Word Problem in Neural Machine Translation, , , , и . (мая 2015)