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Large-Scale Study of Curiosity-Driven Learning.

, , , , , and . (2018)cite arxiv:1808.04355Comment: First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/.

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Exploration by Random Network Distillation, , , and . (2018)cite arxiv:1810.12894.DNN's Sharpest Directions Along the SGD Trajectory, , , , , and . (2018)Probabilistic inference for solving discrete and continuous state Markov Decision Processes, and . International Conference on Machine Learning, page 945--952. Pittsburgh, Pennsylvania, ACM Press, (2006)Large-Scale Study of Curiosity-Driven Learning., , , , , and . (2018)cite arxiv:1808.04355Comment: First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/.Three Factors Influencing Minima in SGD, , , , , , and . (2017)cite arxiv:1711.04623Comment: First two authors contributed equally. Short version accepted into ICLR workshop.The 2005 PASCAL Visual Object Classes Challenge, , , , , , , , , and 24 other author(s). Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment (PASCAL Workshop 05), 3944, page 117-176. Southampton, UK, (2006)How to train your MAML., , and . ICLR (Poster), OpenReview.net, (2019)Training Deep Convolutional Neural Networks to Play Go., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1766-1774. JMLR.org, (2015)Multi-period Trading Prediction Markets with Connections to Machine Learning., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1773-1781. JMLR.org, (2014)Extracting Motion Primitives from Natural Handwriting Data., , and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 634-643. Springer, (2006)