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Guaranteeing Reproducibility in Deep Learning Competitions.

B. Houghton, S. Milani, N. Topin, W. Guss, K. Hofmann, D. Liebana, M. Veloso, and R. Salakhutdinov. CoRR, (2020)

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Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates.L. Smith, and N. Topin. CoRR, (2017)Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes.N. Topin, N. Haltmeyer, S. Squire, J. Winder, M. desJardins, and J. MacGlashan. IJCAI, page 3856-3864. AAAI Press, (2015)Discovering Subgoals in Complex Domains.M. desJardins, T. Tembo, N. Topin, M. Bishoff, S. Squire, J. MacGlashan, R. Carignan, and N. Haltmeyer. AAAI Fall Symposia, AAAI Press, (2014)Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.W. Guss, S. Milani, N. Topin, B. Houghton, S. Mohanty, A. Melnik, A. Harter, B. Buschmaas, B. Jaster, C. Berganski and 19 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 233-252. PMLR, (2020)MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.A. Kanervisto, S. Milani, K. Ramanauskas, N. Topin, Z. Lin, J. Li, J. Shi, D. Ye, Q. Fu, W. Yang and 12 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 13-28. PMLR, (2021)Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning.S. Milani, N. Topin, B. Houghton, W. Guss, S. Mohanty, K. Nakata, O. Vinyals, and N. Kuno. NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 203-214. PMLR, (2019)Deep Convolutional Neural Network Design Patterns.L. Smith, and N. Topin. CoRR, (2016)MineRL: A Large-Scale Dataset of Minecraft Demonstrations.W. Guss, B. Houghton, N. Topin, P. Wang, C. Codel, M. Veloso, and R. Salakhutdinov. IJCAI, page 2442-2448. ijcai.org, (2019)Towards robust and domain agnostic reinforcement learning competitions.W. Guss, S. Milani, N. Topin, B. Houghton, S. Mohanty, A. Melnik, A. Harter, B. Buschmaas, B. Jaster, C. Berganski and 19 other author(s). CoRR, (2021)The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors.W. Guss, M. Castro, S. Devlin, B. Houghton, N. Kuno, C. Loomis, S. Milani, S. Mohanty, K. Nakata, R. Salakhutdinov and 5 other author(s). CoRR, (2021)

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Disambiguation of "Topin, Nicholay"

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Guaranteeing Reproducibility in Deep Learning Competitions.

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Other publications of authors with the same name

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Disambiguation of "Topin, Nicholay"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Guaranteeing Reproducibility in Deep Learning Competitions.

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Other publications of authors with the same name

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Chicago
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Guaranteeing Reproducibility in Deep Learning Competitions.