Wenhao Zhan - RankMe

37 papers A* 12B 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating RL for LLM Reasoning with Optimal Advantage Regression. CoRR Kianté Brantley, Mingyu Chen, Zhaolin Gao, Jason D. Lee, Wen Sun, Wenhao Zhan, Xuezhou Zhang
2025	A*	`conf`	Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. ICLR Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster
2025	A*	`conf`	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. ICLR Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni
2025	J	`jnl`	Optimal Multi-Distribution Learning. J. ACM Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2025	A*	`conf`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. ICLR Zhaolin Gao, Wenhao Zhan, Jonathan Daniel Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2024	J	`jnl`	Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. CoRR Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster
2024	J	`jnl`	Dataset Reset Policy Optimization for RLHF. CoRR Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
2024	J	`jnl`	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. CoRR Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel R. Jiang, Yonathan Efroni
2024	A*	`conf`	Optimal Multi-Distribution Learning. COLT Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2024	A*	`conf`	Provable Offline Preference-Based Reinforcement Learning. ICLR Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun
2024	A*	`conf`	Provable Reward-Agnostic Preference-Based Reinforcement Learning. ICLR Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
2024	A*	`conf`	Provably Efficient CVaR RL in Low-rank MDPs. ICLR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2024	A*	`conf`	REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2023	A*	`conf`	Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. ICLR Wenhao Zhan, Jason D. Lee, Zhuoran Yang
2023	J	`jnl`	How to Query Human Feedback Efficiently in RL? CoRR Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
2023	J	`jnl`	Optimal Multi-Distribution Learning. CoRR Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee
2023	A*	`conf`	PAC Reinforcement Learning for Predictive State Representations. ICLR Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
2023	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2023	J	`jnl`	Provable Offline Reinforcement Learning with Human Feedback. CoRR Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun
2023	J	`jnl`	Provably Efficient CVaR RL in Low-rank MDPs. CoRR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2023	A*	`conf`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	B	`conf`	The Specification of Blockchain Oracle System. MDM Jie Li, Kai Hu, Ji Wan, Wenhao Zhan, Yidan Zou, Yuan Ai, Liping Gao, Yujun Yin
2022	J	`jnl`	An HRA Model Based on the Cognitive Stages for a Human-Computer Interface in a Spacecraft Cabin. Symmetry Jianjun Jiang, Yi Xiao, Wenhao Zhan, Changhua Jiang, Dan Yang, Liaozi Xi, Li Zhang, Hong Hu, Yanhua Zou, Jianqiao Liu
2022	J	`jnl`	Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. CoRR Wenhao Zhan, Jason D. Lee, Zhuoran Yang
2022	A*	`conf`	Offline Reinforcement Learning with Realizability and Single-policy Concentrability. COLT Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
2022	J	`jnl`	Offline Reinforcement Learning with Realizability and Single-policy Concentrability. CoRR Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee
2022	J	`jnl`	PAC Reinforcement Learning for Predictive State Representations. CoRR Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee
2021	—	`conf`	Multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving. HP3C Chao Liu, Kemin Wang, Wenhao Zhan, Yuting Wang, Bo Xiao, Wenpeng Gao
2021	B	`conf`	Over-the-Air Statistical Estimation of Sparse Models. GLOBECOM Chuan-Zheng Lee, Leighton Pate Barnes, Wenhao Zhan, Ayfer Özgür
2021	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2020	—	`conf`	Application of 5G Network Slicing in State Grid. HP3C Qian Qu, Yutong Wang, Wenhao Zhan, Ying Li, Tong Mao, Yinghui Qiu
2020	—	`conf`	Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. BMSB Wenhao Zhan, Haoyue Tang, Jintao Wang
2020	J	`jnl`	Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. CoRR Wenhao Zhan, Haoyue Tang, Jintao Wang
2020	J	`jnl`	Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation. CoRR Wenhao Zhan, Leighton Pate Barnes, Ayfer Özgür