Wenhao Zhan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Statistical Estimation

Reinforcement Learning

Partially Observable Environments

Predictive State Representations

Top Venues

Publications

Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
Provable Reward-Agnostic Preference-Based Reinforcement Learning. ICLR (2024)
Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
Dataset Reset Policy Optimization for RLHF. CoRR (2024)
Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
Optimal Multi-Distribution Learning. COLT (2024)
Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. CoRR (2024)
Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
Provably Efficient CVaR RL in Low-rank MDPs. ICLR (2024)
Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun
Provable Offline Preference-Based Reinforcement Learning. ICLR (2024)
Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR (2024)
Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
Provably Efficient CVaR RL in Low-rank MDPs. CoRR (2023)
Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR (2023)
Jie Li, Kai Hu, Ji Wan, Wenhao Zhan, Yidan Zou, Yuan Ai, Liping Gao, Yujun Yin
The Specification of Blockchain Oracle System. MDM (2023)
Wenhao Zhan, Jason D. Lee, Zhuoran Yang
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. ICLR (2023)
Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun
Provable Offline Reinforcement Learning with Human Feedback. CoRR (2023)
Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
Optimal Multi-Distribution Learning. CoRR (2023)
Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
PAC Reinforcement Learning for Predictive State Representations. ICLR (2023)
Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
How to Query Human Feedback Efficiently in RL? CoRR (2023)
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. 33 (2) (2023)
Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS (2023)
Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
PAC Reinforcement Learning for Predictive State Representations. CoRR (2022)
Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. COLT (2022)
Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. CoRR (2022)
Wenhao Zhan, Jason D. Lee, Zhuoran Yang
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. CoRR (2022)
Jianjun Jiang, Yi Xiao, Wenhao Zhan, Changhua Jiang, Dan Yang, Liaozi Xi, Li Zhang, Hong Hu, Yanhua Zou, Jianqiao Liu
An HRA Model Based on the Cognitive Stages for a Human-Computer Interface in a Spacecraft Cabin. Symmetry 14 (9) (2022)
Chao Liu, Kemin Wang, Wenhao Zhan, Yuting Wang, Bo Xiao, Wenpeng Gao
Multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving. HP3C (2021)
Chuan-Zheng Lee, Leighton Pate Barnes, Wenhao Zhan, Ayfer Özgür
Over-the-Air Statistical Estimation of Sparse Models. GLOBECOM (2021)
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR (2021)
Wenhao Zhan, Leighton Pate Barnes, Ayfer Özgür
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation. CoRR (2020)
Wenhao Zhan, Haoyue Tang, Jintao Wang
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. BMSB (2020)
Qian Qu, Yutong Wang, Wenhao Zhan, Ying Li, Tong Mao, Yinghui Qiu
Application of 5G Network Slicing in State Grid. HP3C (2020)
Wenhao Zhan, Haoyue Tang, Jintao Wang
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. CoRR (2020)