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How to Construct Deep Recurrent Neural Networks.

, , , и . ICLR (Poster), (2014)

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Sevinc Caglar

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Stabilizing Transformers for Reinforcement Learning., , , , , , , , , и 3 other автор(ы). ICML, том 119 из Proceedings of Machine Learning Research, стр. 7487-7498. PMLR, (2020)Regularized Behavior Value Estimation., , , , , , , , , и . CoRR, (2021)Offline Learning from Demonstrations and Unlabeled Experience., , , , , , , , и . CoRR, (2020)Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models., , , , и . CoRR, (2023)Plan, Attend, Generate: Planning for Sequence-to-Sequence Models., , , и . NIPS, стр. 5474-5483. (2017)RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning., , , , , , , , , и 6 other автор(ы). NeurIPS, (2020)Making Efficient Use of Demonstrations to Solve Hard Exploration Problems., , , , , , , , , и 4 other автор(ы). ICLR, OpenReview.net, (2020)Improving the Gating Mechanism of Recurrent Neural Networks., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 3800-3809. PMLR, (2020)Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus., , , , , , и . ACL (1), The Association for Computer Linguistics, (2016)Combining modality specific deep neural networks for emotion recognition in video., , , , , , , , , и 17 other автор(ы). ICMI, стр. 543-550. ACM, (2013)