Zhi Xu

26 papers A* 6C 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Nonasymptotic Analysis of Monte Carlo Tree Search.
Oper. Res.
Devavrat Shah, Qiaomin Xie, Zhi Xu
2021 — —
Data Efficient Reinforcement Learning.
Zhi Xu
2021 A* conf
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators.
NeurIPS
Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2021 J jnl
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators.
CoRR
Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2021 J jnl
Private Sequential Learning.
Oper. Res.
John N. Tsitsiklis, Kuang Xu, Zhi Xu
2020 A* conf
Harnessing Structures for Value-Based Planning and Reinforcement Learning.
ICLR
Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2020 — conf
Non-Asymptotic Analysis of Monte Carlo Tree Search.
SIGMETRICS (Abstracts)
Devavrat Shah, Qiaomin Xie, Zhi Xu
2020 — conf
On Reinforcement Learning for Turn-based Zero-sum Markov Games.
FODS
Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020 J jnl
On Reinforcement Learning for Turn-based Zero-sum Markov Games.
CoRR
Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020 A* conf
Rethinking the Value of Labels for Improving Class-Imbalanced Learning.
NeurIPS
Yuzhe Yang, Zhi Xu
2020 J jnl
Rethinking the Value of Labels for Improving Class-Imbalanced Learning.
CoRR
Yuzhe Yang, Zhi Xu
2020 A* conf
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.
NeurIPS
Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang
2020 J jnl
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.
CoRR
Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang
2020 — conf
Stable Reinforcement Learning with Unbounded State Space.
L4DC
Devavrat Shah, Qiaomin Xie, Zhi Xu
2020 J jnl
Stable Reinforcement Learning with Unbounded State Space.
CoRR
Devavrat Shah, Qiaomin Xie, Zhi Xu
2019 J jnl
Harnessing Structures for Value-Based Planning and Reinforcement Learning.
CoRR
Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2019 A* conf
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation.
ICML
Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2019 J jnl
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation.
CoRR
Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu
2019 J jnl
On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis.
CoRR
Devavrat Shah, Qiaomin Xie, Zhi Xu
2018 A* conf
Private Sequential Learning.
COLT
John N. Tsitsiklis, Kuang Xu, Zhi Xu
2018 J jnl
Private Sequential Learning.
CoRR
John N. Tsitsiklis, Kuang Xu, Zhi Xu
2017 J jnl
Distributed Evaluation and Convergence of Self-Appraisals in Social Networks.
IEEE Trans. Autom. Control.
Xudong Chen, Ji Liu, Mohamed-Ali Belabbas, Zhi Xu, Tamer Basar
2015 C conf
Competition over epidemic networks: Nash and stackelberg games.
ACC
Zhi Xu, Ali Khanafer, Tamer Basar
2015 J jnl
Distributed Evaluation and Convergence of Self-Appraisals in Social Networks.
CoRR
Xudong Chen, Ji Liu, Zhi Xu, Tamer Basar
2015 — conf
Distributed evaluation and convergence of self-appraisals in social networks.
CDC
Xudong Chen, Ji Liu, Zhi Xu, Tamer Basar
2015 C conf
On a Modified DeGroot-Friedkin model of opinion dynamics.
ACC
Zhi Xu, Ji Liu, Tamer Basar