Zhaoran Wang

Zhaoran Wang

North Western University

H-index: 41

Asia-Bangladesh

About Zhaoran Wang

Zhaoran Wang, With an exceptional h-index of 41 and a recent h-index of 40 (since 2020), a distinguished researcher at North Western University, specializes in the field of Deep Reinforcement Learning, Data-Driven Decision-Making, Optimization Under Uncertainty, Nonconvex Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes

What and How Does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Zhaoran Wang Information

University

Position

Assistant Professor at

Citations(all)

6851

Citations(since 2020)

6198

Cited By

2196

hIndex(all)

41

hIndex(since 2020)

40

i10Index(all)

93

i10Index(since 2020)

90

Email

University Profile Page

North Western University

Google Scholar

View Google Scholar Profile

Zhaoran Wang Skills & Research Interests

Deep Reinforcement Learning

Data-Driven Decision-Making

Optimization Under Uncertainty

Nonconvex Optimization

Top articles of Zhaoran Wang

Title

Journal

Author(s)

Publication Date

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

arXiv preprint arXiv:2309.17382

Zhihan Liu

Hao Hu

Shenao Zhang

Hongyi Guo

Shuqi Ke

...

2023/9/29

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes

Miao Lu

Yifei Min

Zhaoran Wang

Zhuoran Yang

2023

What and How Does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

arXiv preprint arXiv:2305.19420

Yufeng Zhang

Fengzhuo Zhang

Zhuoran Yang

Zhaoran Wang

2023/5/30

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments

Yixuan Wang

Simon Sinong Zhan

Ruochen Jiao

Zhilu Wang

Wanxin Jin

...

2023

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration

Zhihan Liu

Miao Lu

Wei Xiong

Han Zhong

Hao Hu

...

2023

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency

Lingxiao Wang

Qi Cai

Zhuoran Yang

Zhaoran Wang

2023

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

Shuang Qiu

Lingxiao Wang

Chenjia Bai

Zhuoran Yang

Zhaoran Wang

2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Advances in Neural Information Processing Systems (NeurIPS) 2022

Rui Yang*

Chenjia Bai*

Xiaoteng Ma

Zhaoran Wang

Chongjie Zhang

...

2022/6/6

Online Bootstrap Inference for Policy Evaluation in Reinforcement Learning

Journal of the American Statistical Association

Pratik Ramprasad

Yuantong Li

Zhuoran Yang

Zhaoran Wang

Will Wei Sun

...

2022

Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency

Qi Cai

Zhuoran Yang

Zhaoran Wang

2022

Policy Learning” Without’’Overlap: Pessimism and Generalized Empirical Bernstein’s Inequality

arXiv preprint arXiv:2212.09900

Ying Jin

Zhimei Ren

Zhuoran Yang

Zhaoran Wang

2022/12/19

FinRL-Meta: Environments and Benchmarks for Financial Reinforcement Learning

Advances in Neural Information Processing Systems

Xiaoyang Liu

Ziyi Xia

Jingyang Rui

Jiechao Gao

Hongyang Yang

...

2022

Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection

Journal of the American Statistical Association

Yi Chen

Yining Wang

Ethan X Fang

Zhaoran Wang

Runze Li

2022

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

arXiv preprint arXiv:2202.10678

Jibang Wu

Zixuan Zhang

Zhe Feng

Zhaoran Wang

Zhuoran Yang

...

2022/2/22

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets

Han Zhong

Wei Xiong

Jiyuan Tan

Liwei Wang

Tong Zhang

...

2022/6/28

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond

arXiv preprint arXiv:2211.01962

Han Zhong

Wei Xiong

Sirui Zheng

Liwei Wang

Zhaoran Wang

...

2022/11/3

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium

Mathematics of Operations Research/Annual Conference on Learning Theory

Qiaomin Xie

Yudong Chen

Zhaoran Wang

Zhuoran Yang

2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Chenjia Bai

Lingxiao Wang

Zhuoran Yang

Zhihong Deng

Animesh Garg

...

2022

Human-In-The-Loop: Provably Efficient Preference-Based Reinforcement Learning with General Function Approximation

Xiaoyu Chen

Han Zhong

Zhuoran Yang

Zhaoran Wang

Liwei Wang

2022/6/28

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes

arXiv preprint arXiv:2209.08666

Zuyue Fu

Zhengling Qi

Zhaoran Wang

Zhuoran Yang

Yanxun Xu

...

2022/9/18

See List of Professors in Zhaoran Wang University(North Western University)