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Zhi Xu 0001
Person information
- affiliation (PhD 2021): Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA, USA
Other persons with the same name
- Zhi Xu — disambiguation page
- Zhi Xu 0002 — University of Waterloo, School of Computer Science, Waterloo, Canada
- Zhi Xu 0003 — University of Western Ontario, Department of Computer Science, London, Canada
- Zhi Xu 0004 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Zhi Xu 0005
— Guilin University of Electronic Technology, Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin, China (and 1 more)
- Zhi Xu 0006
— Anhui University of Science and Technology, College of Electrical and Information Engineering, Huainan, China
- Zhi Xu 0007
— East China University of Science and Technology, School of Chemical Engineering, Shanghai, China (and 1 more)
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2020 – today
- 2022
- [j3]Devavrat Shah
, Qiaomin Xie
, Zhi Xu
:
Nonasymptotic Analysis of Monte Carlo Tree Search. Oper. Res. 70(6): 3234-3260 (2022) - 2021
- [b1]Zhi Xu:
Data Efficient Reinforcement Learning. Massachusetts Institute of Technology, USA, 2021 - [j2]John N. Tsitsiklis
, Kuang Xu
, Zhi Xu
:
Private Sequential Learning. Oper. Res. 69(5): 1575-1590 (2021) - [c12]Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang:
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. NeurIPS 2021: 18564-18576 - [i10]Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang:
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. CoRR abs/2102.06961 (2021) - 2020
- [c11]Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu:
On Reinforcement Learning for Turn-based Zero-sum Markov Games. FODS 2020: 139-148 - [c10]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. ICLR 2020 - [c9]Devavrat Shah, Qiaomin Xie, Zhi Xu:
Stable Reinforcement Learning with Unbounded State Space. L4DC 2020: 581 - [c8]Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang:
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. NeurIPS 2020 - [c7]Yuzhe Yang, Zhi Xu:
Rethinking the Value of Labels for Improving Class-Imbalanced Learning. NeurIPS 2020 - [c6]Devavrat Shah, Qiaomin Xie, Zhi Xu:
Non-Asymptotic Analysis of Monte Carlo Tree Search. SIGMETRICS (Abstracts) 2020: 31-32 - [i9]Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu:
On Reinforcement Learning for Turn-based Zero-sum Markov Games. CoRR abs/2002.10620 (2020) - [i8]Devavrat Shah, Qiaomin Xie, Zhi Xu:
Stable Reinforcement Learning with Unbounded State Space. CoRR abs/2006.04353 (2020) - [i7]Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang:
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. CoRR abs/2006.06135 (2020) - [i6]Yuzhe Yang, Zhi Xu:
Rethinking the Value of Labels for Improving Class-Imbalanced Learning. CoRR abs/2006.07529 (2020)
2010 – 2019
- 2019
- [c5]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. ICML 2019: 7025-7034 - [i5]Devavrat Shah, Qiaomin Xie, Zhi Xu:
On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis. CoRR abs/1902.05213 (2019) - [i4]Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. CoRR abs/1905.11971 (2019) - [i3]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. CoRR abs/1909.12255 (2019) - 2018
- [c4]John N. Tsitsiklis, Kuang Xu, Zhi Xu:
Private Sequential Learning. COLT 2018: 721-727 - [i2]John N. Tsitsiklis, Kuang Xu, Zhi Xu:
Private Sequential Learning. CoRR abs/1805.02136 (2018) - 2017
- [j1]Xudong Chen
, Ji Liu, Mohamed-Ali Belabbas, Zhi Xu, Tamer Basar:
Distributed Evaluation and Convergence of Self-Appraisals in Social Networks. IEEE Trans. Autom. Control. 62(1): 291-304 (2017) - 2015
- [c3]Zhi Xu, Ji Liu, Tamer Basar:
On a Modified DeGroot-Friedkin model of opinion dynamics. ACC 2015: 1047-1052 - [c2]Zhi Xu, Ali Khanafer, Tamer Basar:
Competition over epidemic networks: Nash and stackelberg games. ACC 2015: 2063-2068 - [c1]Xudong Chen, Ji Liu, Zhi Xu, Tamer Basar:
Distributed evaluation and convergence of self-appraisals in social networks. CDC 2015: 2895-2900 - [i1]Xudong Chen, Ji Liu, Zhi Xu, Tamer Basar:
Distributed Evaluation and Convergence of Self-Appraisals in Social Networks. CoRR abs/1503.08175 (2015)
Coauthor Index
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