Zhi Xu

According to our database, Zhi Xu authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Nonasymptotic Analysis of Monte Carlo Tree Search.

Devavrat Shah, Qiaomin Xie, Zhi Xu

Oper. Res., November, 2022

2021

Data Efficient Reinforcement Learning.

Zhi Xu

PhD thesis, 2021

Private Sequential Learning.

John N. Tsitsiklis, Kuang Xu, Zhi Xu

Oper. Res., 2021

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators.

Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Non-Asymptotic Analysis of Monte Carlo Tree Search.

Devavrat Shah, Qiaomin Xie, Zhi Xu

Proceedings of the Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2020

Rethinking the Value of Labels for Improving Class-Imbalanced Learning.

Yuzhe Yang, Zhi Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.

Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stable Reinforcement Learning with Unbounded State Space.

Devavrat Shah, Qiaomin Xie, Zhi Xu

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Harnessing Structures for Value-Based Planning and Reinforcement Learning.

Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi

Proceedings of the 8th International Conference on Learning Representations, 2020

On Reinforcement Learning for Turn-based Zero-sum Markov Games.

Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020

2019

On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis.

Devavrat Shah, Qiaomin Xie, Zhi Xu

CoRR, 2019

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation.

Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Distributed Evaluation and Convergence of Self-Appraisals in Social Networks.

Xudong Chen, Ji Liu, Mohamed-Ali Belabbas, Zhi Xu, Tamer Basar

IEEE Trans. Autom. Control., 2017

2015

Distributed evaluation and convergence of self-appraisals in social networks.

Xudong Chen, Ji Liu, Zhi Xu, Tamer Basar

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On a Modified DeGroot-Friedkin model of opinion dynamics.

Zhi Xu, Ji Liu, Tamer Basar

Proceedings of the American Control Conference, 2015

Competition over epidemic networks: Nash and stackelberg games.

Zhi Xu, Ali Khanafer, Tamer Basar

Proceedings of the American Control Conference, 2015