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Wenhao Zhan
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2020 – today
- 2024
- [c13]Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee:
Optimal Multi-Distribution Learning. COLT 2024: 5220-5223 - [c12]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 - [c11]Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee:
Provable Reward-Agnostic Preference-Based Reinforcement Learning. ICLR 2024 - [c10]Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun:
Provable Offline Preference-Based Reinforcement Learning. ICLR 2024 - [i16]Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun:
Dataset Reset Policy Optimization for RLHF. CoRR abs/2404.08495 (2024) - [i15]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 abs/2404.16767 (2024) - [i14]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 abs/2407.13399 (2024) - [i13]Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel R. Jiang, Yonathan Efroni:
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. CoRR abs/2410.01101 (2024) - [i12]Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun:
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR abs/2410.04612 (2024) - 2023
- [j2]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): 1061-1091 (2023) - [c9]Wenhao Zhan, Jason D. Lee, Zhuoran Yang:
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. ICLR 2023 - [c8]Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee:
PAC Reinforcement Learning for Predictive State Representations. ICLR 2023 - [c7]Jie Li
The Specification of Blockchain Oracle System. MDM 2023: 309-314 - [c6]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS 2023 - [i11]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR abs/2305.10282 (2023) - [i10]Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun:
Provable Offline Reinforcement Learning with Human Feedback. CoRR abs/2305.14816 (2023) - [i9]Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee:
How to Query Human Feedback Efficiently in RL? CoRR abs/2305.18505 (2023) - [i8]Yulai Zhao, Wenhao Zhan, Xiaoyan Hu
Provably Efficient CVaR RL in Low-rank MDPs. CoRR abs/2311.11965 (2023) - [i7]Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee:
Optimal Multi-Distribution Learning. CoRR abs/2312.05134 (2023) - 2022
- [j1]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): 1756 (2022) - [c5]Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee:
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. COLT 2022: 2730-2775 - [i6]Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee:
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. CoRR abs/2202.04634 (2022) - [i5]Wenhao Zhan, Jason D. Lee, Zhuoran Yang:
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. CoRR abs/2206.01588 (2022) - [i4]Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee:
PAC Reinforcement Learning for Predictive State Representations. CoRR abs/2207.05738 (2022) - 2021
- [c4]Chuan-Zheng Lee, Leighton Pate Barnes, Wenhao Zhan, Ayfer Özgür:
Over-the-Air Statistical Estimation of Sparse Models. GLOBECOM 2021: 1-6 - [c3]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: 50-54 - [i3]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 abs/2105.11066 (2021) - 2020
- [c2]Wenhao Zhan, Haoyue Tang
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. BMSB 2020: 1-6 - [c1]Qian Qu, Yutong Wang, Wenhao Zhan, Ying Li, Tong Mao, Yinghui Qiu:
Application of 5G Network Slicing in State Grid. HP3C 2020: 112-116 - [i2]Wenhao Zhan, Haoyue Tang, Jintao Wang:
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. CoRR abs/2009.13048 (2020) - [i1]Wenhao Zhan, Leighton Pate Barnes, Ayfer Özgür:
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation. CoRR abs/2010.13531 (2020)
Coauthor Index
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last updated on 2024-11-13 23:49 CET by the dblp team
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