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Journal Articles
- 2024
[j3]Youlin Fan
, Bo Jiu, Wenqiang Pu, Ziniu Li, Kang Li, Hongwei Liu:
Sensing Jamming Strategy From Limited Observations: An Imitation Learning Perspective. IEEE Trans. Signal Process. 72: 4098-4114 (2024)- 2022
- [j2]Tian Xu, Ziniu Li, Yang Yu:
Error Bounds of Imitating Policies and Environments for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6968-6980 (2022) - 2020
- [j1]Xinjian Huang, Ziniu Li, Zhiyuan Liu, Bin Xiang, Yingsan Geng, Jianhua Wang:
Solving the Inverse Design Problem of Electrical Fuse With Machine Learning. IEEE Access 8: 74137-74144 (2020)
Conference and Workshop Papers
- 2024
- [c8]Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun:
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. EMNLP (Findings) 2024: 14825-14838 - [c7]Ziniu Li, Tian Xu, Yang Yu:
When is RL better than DPO in RLHF? A Representation and Optimization Perspective. Tiny Papers @ ICLR 2024 - [c6]Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo:
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML 2024 - 2023
- [c5]Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo:
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. NeurIPS 2023 - [c4]Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo:
Provably Efficient Adversarial Imitation Learning with Unknown Transitions. UAI 2023: 2367-2378 - 2022
- [c3]Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo:
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning. ICLR 2022 - 2020
- [c2]Ziniu Li, Xiong-Hui Chen:
Efficient Exploration by Novelty-Pursuit. DAI 2020: 85-102 - [c1]Tian Xu, Ziniu Li, Yang Yu:
Error Bounds of Imitating Policies and Environments. NeurIPS 2020
Informal and Other Publications
- 2024
- [i16]Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo:
Why Transformers Need Adam: A Hessian Perspective. CoRR abs/2402.16788 (2024) - [i15]Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily J. Getzen, Cong Fang, Qi Long, Weijie J. Su:
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. CoRR abs/2405.16455 (2024) - [i14]Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu:
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. CoRR abs/2405.17039 (2024) - [i13]Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun:
Adam-mini: Use Fewer Learning Rates To Gain More. CoRR abs/2406.16793 (2024) - [i12]Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo:
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. CoRR abs/2408.16673 (2024) - 2023
- [i11]Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo:
Theoretical Analysis of Offline Imitation With Supplementary Dataset. CoRR abs/2301.11687 (2023) - [i10]Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao:
Deploying Offline Reinforcement Learning with Human Feedback. CoRR abs/2303.07046 (2023) - [i9]Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo:
Provably Efficient Adversarial Imitation Learning with Unknown Transitions. CoRR abs/2306.06563 (2023) - [i8]Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo:
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. CoRR abs/2310.10505 (2023) - [i7]Ziniu Li, Tian Xu, Yang Yu:
Policy Optimization in RLHF: The Impact of Out-of-preference Data. CoRR abs/2312.10584 (2023) - 2022
- [i6]Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo:
Rethinking ValueDice: Does It Really Improve Performance? CoRR abs/2202.02468 (2022) - [i5]Ziniu Li, Tian Xu, Yang Yu:
A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle. CoRR abs/2203.11489 (2022) - [i4]Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo:
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. CoRR abs/2208.01899 (2022) - 2021
- [i3]Tian Xu, Ziniu Li, Yang Yu:
Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. CoRR abs/2106.10424 (2021) - 2020
- [i2]Tian Xu, Ziniu Li, Yang Yu:
Error Bounds of Imitating Policies and Environments. CoRR abs/2010.11876 (2020) - 2019
- [i1]Tian Xu, Ziniu Li, Yang Yu:
On Value Discrepancy of Imitation Learning. CoRR abs/1911.07027 (2019)
Coauthor Index
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