20 citations · 20 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 20 cited
Cracking the Black Box: Distilling Deep Sports Analytics
Xiangyu Sun, Jack Davis, Oliver Schulte +1
This paper addresses the trade-off between Accuracy and Transparency for deep learning applied to sports analytics. Neural nets achieve great predictive accuracy through deep learn…
cs.LG2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Guiliang Liu, Oliver Schulte, Wang Zhu +1
Deep Reinforcement Learning (DRL) has achieved impressive success in many applications. A key component of many DRL models is a neural network representing a Q function, to estimat…
cs.LG2018
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
Guiliang Liu, Oliver Schulte
A variety of machine learning models have been proposed to assess the performance of players in professional sports. However, they have only a limited ability to model how player p…