Sardinia
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TowardtheFundamentalLimitsofImitation Learning
We then propose a novel algorithm based on minimum-distance functionals in the setting where the transition model is given and the expert is deterministic.Thealgorithmissuboptimalby .|S|H3/2/N,matchingourlower
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.94)
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Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Charles Windolf, Thomas Serre
We introduce a visual challenge, Pathfinder, and describe a novel recurrent neural network architecture called the horizontal gated recurrent unit (hGRU) to learn intrinsic horizontal connections - both within and across feature columns.
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Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
Neural Information Processing Systems http://nips.cc/
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