47 citations · 61 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 14 cited
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Mario Ynocente Castro, Sam Devlin +12
Although deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples, affording only a shrink…
cs.LG2016★ 47 cited
Deep Convolutional Neural Network Design Patterns
Leslie N. Smith, Nicholay Topin
Recent research in the deep learning field has produced a plethora of new architectures. At the same time, a growing number of groups are applying deep learning to new applications…