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Adam: A method for stochastic optimization, и . arXiv preprint arXiv:1412.6980, (2014)High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation., , , , , и . NeurIPS, (2022)INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving., , , и . ICLR, OpenReview.net, (2021)Mastering Atari with Discrete World Models., , , и . ICLR, OpenReview.net, (2021)Improving Transformer Optimization Through Better Initialization., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4475-4483. PMLR, (2020)Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7750-7761. PMLR, (2020)TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 22092-22112. PMLR, (2023)An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality., , , и . ICLR, OpenReview.net, (2020)Learning Intrinsic Rewards as a Bi-Level Optimization Problem., , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 111-120. AUAI Press, (2020)NerveNet: Learning Structured Policy with Graph Neural Networks., , , и . ICLR (Poster), OpenReview.net, (2018)