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On Characterizing the Capacity of Neural Networks using Algebraic Topology., and . CoRR, (2018)On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps, and . (2019)cite arxiv:1910.01545Comment: 12 pages.Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning., , , , , , , and . NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 203-214. PMLR, (2019)Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning., , , , , , , and . CoRR, (2020)MineRL: A Large-Scale Dataset of Minecraft Demonstrations., , , , , , and . IJCAI, page 2442-2448. ijcai.org, (2019)The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors., , , , , , , , , and 5 other author(s). CoRR, (2021)Deep Function Machines: Generalized Neural Networks for Topological Layer Expression.. CoRR, (2016)Guaranteeing Reproducibility in Deep Learning Competitions., , , , , , , and . CoRR, (2020)The MineRL BASALT Competition on Learning from Human Feedback., , , , , , , , , and 3 other author(s). CoRR, (2021)The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors., , , , , , , , , and 2 other author(s). CoRR, (2019)