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Xuezhou Zhang

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Robust Policy Gradient against Strong Data Corruption

Feb 11, 2021
Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

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Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners

Sep 05, 2020
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu

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Task-agnostic Exploration in Reinforcement Learning

Jun 16, 2020
Xuezhou Zhang, Yuzhe ma, Adish Singla

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The Teaching Dimension of Q-learning

Jun 16, 2020
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

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Neural Additive Models: Interpretable Machine Learning with Neural Nets

Apr 29, 2020
Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton

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Adaptive Reward-Poisoning Attacks against Reinforcement Learning

Mar 27, 2020
Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu

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Policy Poisoning in Batch Reinforcement Learning and Control

Oct 31, 2019
Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu

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Online Data Poisoning Attack

Mar 05, 2019
Xuezhou Zhang, Xiaojin Zhu

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Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models

Oct 22, 2018
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana

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