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2020 – today
- 2023
[c2]Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu:
Quasi-optimal Reinforcement Learning with Continuous Actions. ICLR 2023- [c1]Wenzhuo Zhou:
Bi-Level Offline Policy Optimization with Limited Exploration. NeurIPS 2023 - [i6]Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu:
Quasi-optimal Learning with Continuous Treatments. CoRR abs/2301.08940 (2023) - [i5]Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu, Annie Qu:
Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. CoRR abs/2309.13278 (2023) - [i4]Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba:
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. CoRR abs/2309.13459 (2023) - [i3]Wenzhuo Zhou, Annie Qu:
Stackelberg Batch Policy Learning. CoRR abs/2309.16188 (2023) - [i2]Wenzhuo Zhou:
Bi-Level Offline Policy Optimization with Limited Exploration. CoRR abs/2310.06268 (2023) - [i1]Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu:
Stage-Aware Learning for Dynamic Treatments. CoRR abs/2310.19300 (2023)
2010 – 2019
- 2019
- [j1]Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, Xin Zhang:
orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. R J. 11(2): 24 (2019)
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