Wenhao Yang

Postdoc, Stanford University

Joined

September 2017

Names

Wenhao Yang

Emails

****@pku.edu.cn (Confirmed)

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Google Scholar

Career & Education History

Postdoc

Stanford University (stanford.edu)

2023 – Present

PhD student

Peking University (pku.edu.cn)

2018 – 2023

Undergrad student

Peking University (pku.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
Patrick Kendal Kuiper, Ali Hasan, Wenhao Yang, Jose Blanchet, Vahid Tarokh, Yuting Ng, Hoda Bidkhori
- UAI 2024 poster
- Readers: Everyone
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo
- ICML 2023 Poster
- Readers: Everyone
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
Chuhan Xie, Wenhao Yang, Zhihua Zhang
- ICML 2023 Poster
- Readers: Everyone
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Michal Valko, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Semi-infinitely Constrained Markov Decision Processes
Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang
- 2022 (modified: 29 Sept 2022)
- AISTATS 2022
- Readers: Everyone
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári
- 2022 (modified: 29 Sept 2022)
- CoRR 2022
- Readers: Everyone
Non-asymptotic Performances of Robust Markov Decision Processes
Wenhao Yang, Zhihua Zhang
- 2021 (modified: 29 Sept 2022)
- CoRR 2021
- Readers: Everyone
Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient
Xiang Li, Wenhao Yang, Zhihua Zhang, Michael I. Jordan
- 2021 (modified: 29 Sept 2022)
- CoRR 2021
- Readers: Everyone
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs
Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang
- 2020 (modified: 29 Sept 2022)
- CoRR 2020
- Readers: Everyone

View all 11 publications

Co-Authors

View all 32 co-authors