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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

, , , , and . NIPS, page 5279-5288. (2017)

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Neural Graph Evolution: Towards Efficient Automatic Robot Design., , , and . ICLR (Poster), OpenReview.net, (2019)NerveNet: Learning Structured Policy with Graph Neural Networks., , , and . ICLR (Poster), OpenReview.net, (2018)Kronecker-factored Curvature Approximations for Recurrent Neural Networks., , and . ICLR (Poster), OpenReview.net, (2018)An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality., , , and . ICLR, OpenReview.net, (2020)Adam: A method for stochastic optimization, and . arXiv preprint arXiv:1412.6980, (2014)High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation., , , , , and . NeurIPS, (2022)Mastering Atari with Discrete World Models., , , and . ICLR, OpenReview.net, (2021)INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving., , , and . ICLR, OpenReview.net, (2021)TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22092-22112. PMLR, (2023)Improving Transformer Optimization Through Better Initialization., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4475-4483. PMLR, (2020)