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cs.LG2020★ 5 cited
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh +3
In this paper, we introduce proximal gradient temporal difference learning, which provides a principled way of designing and analyzing true stochastic gradient temporal difference…
cs.LG2018
Techniques for Interpretable Machine Learning
Mengnan Du, Ninghao Liu, Xia Hu
Interpretable machine learning tackles the important problem that humans cannot understand the behaviors of complex machine learning models and how these models arrive at a particu…