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ORCIDBoyi Liu 0001
Person information
- affiliation: Northwestern University, IL, USA
Other persons with the same name
- Boyi Liu
- Boyi Liu 0002
![[0009-0004-5894-7878]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0004-5894-7878")
— Beihang University, Beijing, China - Boyi Liu 0003 — Hong Kong University of Science and Technology, Hong Kong
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2020 – today
- 2024
[c10]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR 2024- [c9]Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang:
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML 2024 - [i14]Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang:
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR abs/2402.10810 (2024) - [i13]Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang:
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR abs/2405.16436 (2024) - [i12]Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang:
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR abs/2410.08067 (2024) - 2023
- [j1]Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang:
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. J. Mach. Learn. Res. 24: 385:1-385:43 (2023) - [c8]Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu:
Differentiable Arbitrating in Zero-sum Markov Games. AAMAS 2023: 1034-1043 - [c7]Jiayang Li, Jing Yu, Boyi Liu, Yu Marco Nie, Zhaoran Wang:
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. ICML 2023: 20312-20335 - [c6]Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao:
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS 2023 - [i11]Jiayang Li, Jing Yu, Boyi Liu, Zhaoran Wang, Yu Marco Nie:
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints. CoRR abs/2302.09734 (2023) - [i10]Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu:
Differentiable Arbitrating in Zero-sum Markov Games. CoRR abs/2302.10058 (2023) - [i9]Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang:
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR abs/2309.17382 (2023) - [i8]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR abs/2310.06272 (2023) - [i7]Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao:
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. CoRR abs/2310.19927 (2023) - 2022
- [c5]Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS 2022 - [c4]Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang:
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS 2022 - [i6]Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie:
Differentiable Bilevel Programming for Stackelberg Congestion Games. CoRR abs/2209.07618 (2022) - [i5]Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang:
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR abs/2209.09845 (2022) - [i4]Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang:
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR abs/2212.14852 (2022) - 2021
- [c3]Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
BooVI: Provably Efficient Bootstrapped Value Iteration. NeurIPS 2021: 7041-7053 - [i3]Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR abs/2110.01212 (2021)
2010 – 2019
- 2019
- [c2]Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng:
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) 2019 - [c1]Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. NeurIPS 2019: 10564-10575 - [i2]Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. CoRR abs/1906.10306 (2019) - 2018
- [i1]Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng:
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. CoRR abs/1808.00232 (2018)
Coauthor Index
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