457 citations · 696 across the 72 of their papers we have counts for
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cs.LG2019★ 3 cited
Robust Importance Weighting for Covariate Shift
Henry Lam, Fengpei Li, Siddharth Prusty
In many learning problems, the training and testing data follow different distributions and a particularly common situation is the \textit{covariate shift}. To correct for sampling…
cs.LG2019
Uncertainty Quantification and Exploration for Reinforcement Learning
YI Zhu, Jing Dong, Henry Lam
We investigate statistical uncertainty quantification for reinforcement learning (RL) and its implications in exploration policy. Despite ever-growing literature on RL applications…