2 Result(s)
within
Conference Paper
Guiliang Liu
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Chapter and Conference Paper
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
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 estimate the expected cumulative rew...
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Chapter and Conference Paper
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL
Deep learning has started to have an impact on sports analytics. Several papers have applied action-value Q learning to quantify a team’s chance of success, given the current match state. However, the black-bo...
