Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. - Wenhao Zhan; Haoyue Tang; Jintao Wang (BMSB, 2020)

Application of 5G Network Slicing in State Grid. - Qian Qu; Yutong Wang; Wenhao Zhan; Ying Li; Tong Mao; Yinghui Qiu (HP3C, 2020)

Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation. - Wenhao Zhan; Leighton Pate Barnes; Ayfer Özgür (CoRR, 2020)

Over-the-Air Statistical Estimation of Sparse Models. - Chuan-Zheng Lee; Leighton Pate Barnes; Wenhao Zhan; Ayfer Özgür (GLOBECOM, 2021)

Multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving. - Chao Liu; Kemin Wang; Wenhao Zhan; Yuting Wang; Bo Xiao; Wenpeng Gao (HP3C, 2021)

Offline Reinforcement Learning with Realizability and Single-policy Concentrability. - Wenhao Zhan; Baihe Huang; Audrey Huang; Nan Jiang 008; Jason D. Lee (COLT, 2022)

An HRA Model Based on the Cognitive Stages for a Human-Computer Interface in a Spacecraft Cabin. - Jianjun Jiang; Yi Xiao; Wenhao Zhan; Changhua Jiang; Dan Yang; Liaozi Xi; Li Zhang; Hong Hu; Yanhua Zou; Jianqiao Liu (Symmetry, 2022)

Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. - Wenhao Zhan; Jason D. Lee; Zhuoran Yang (ICLR, 2023)

PAC Reinforcement Learning for Predictive State Representations. - Wenhao Zhan; Masatoshi Uehara; Wen Sun 002; Jason D. Lee (ICLR, 2023)

The Specification of Blockchain Oracle System. - Jie Li 051; Kai Hu 004; Ji Wan; Wenhao Zhan; Yidan Zou; Yuan Ai; Liping Gao; Yujun Yin (MDM, 2023)

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. - Gen Li 005; Wenhao Zhan; Jason D. Lee; Yuejie Chi; Yuxin Chen 002 (NeurIPS, 2023)

Provable Offline Reinforcement Learning with Human Feedback. - Wenhao Zhan; Masatoshi Uehara; Nathan Kallus; Jason D. Lee; Wen Sun 002 (CoRR, 2023)

How to Query Human Feedback Efficiently in RL? - Wenhao Zhan; Masatoshi Uehara; Wen Sun 002; Jason D. Lee (CoRR, 2023)

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. - Wenhao Zhan; Shicong Cen; Baihe Huang; Yuxin Chen 002; Jason D. Lee; Yuejie Chi (SIAM J. Optim., 2023)

Optimal Multi-Distribution Learning. - Zihan Zhang; Wenhao Zhan; Yuxin Chen 002; Simon S. Du; Jason D. Lee (COLT, 2024)

Provably Efficient CVaR RL in Low-rank MDPs. - Yulai Zhao 002; Wenhao Zhan; Xiaoyan Hu; Ho-fung Leung; Farzan Farnia; Wen Sun 002; Jason D. Lee (ICLR, 2024)

Provable Reward-Agnostic Preference-Based Reinforcement Learning. - Wenhao Zhan; Masatoshi Uehara; Wen Sun 002; Jason D. Lee (ICLR, 2024)

Provable Offline Preference-Based Reinforcement Learning. - Wenhao Zhan; Masatoshi Uehara; Nathan Kallus; Jason D. Lee; Wen Sun 002 (ICLR, 2024)

REBEL: Reinforcement Learning via Regressing Relative Rewards. - Zhaolin Gao; Jonathan D. Chang; Wenhao Zhan; Owen Oertell; Gokul Swamy; Kianté Brantley; Thorsten Joachims; Drew Bagnell; Jason D. Lee; Wen Sun 002 (NeurIPS, 2024)

Dataset Reset Policy Optimization for RLHF. - Jonathan D. Chang; Wenhao Zhan; Owen Oertell; Kianté Brantley; Dipendra Misra; Jason D. Lee; Wen Sun 002 (CoRR, 2024)

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Wenhao Zhan; Scott Fujimoto; Zheqing Zhu; Jason D. Lee; Daniel R. Jiang; Yonathan Efroni (CoRR, 2024)

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. - Zhaolin Gao; Wenhao Zhan; Jonathan Daniel Chang; Gokul Swamy; Kianté Brantley; Jason D. Lee; Wen Sun 002 (ICLR, 2025)

Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. - Audrey Huang; Wenhao Zhan; Tengyang Xie; Jason D. Lee; Wen Sun 002; Akshay Krishnamurthy; Dylan J. Foster (ICLR, 2025)

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Wenhao Zhan; Scott Fujimoto; Zheqing Zhu; Jason D. Lee; Daniel Jiang; Yonathan Efroni (ICLR, 2025)

Accelerating RL for LLM Reasoning with Optimal Advantage Regression. - Kianté Brantley; Mingyu Chen; Zhaolin Gao; Jason D. Lee; Wen Sun 002; Wenhao Zhan; Xuezhou Zhang (CoRR, 2025)