Boyi Liu

According to our database, Boyi Liu authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning.

Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang

CoRR, January, 2025

2024

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs.

Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang

CoRR, 2024

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer.

Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Let Models Speak Ciphers: Multiagent Debate through Embeddings.

Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning.

Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang

J. Mach. Learn. Res., 2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

CoRR, 2023

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints.

Jiayang Li, Jing Yu, Boyi Liu, Yu Marco Nie, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2023

Differentiable Arbitrating in Zero-sum Markov Games.

Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang

CoRR, 2022

Differentiable Bilevel Programming for Stackelberg Congestion Games.

Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie

CoRR, 2022

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL.

Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang

CoRR, 2021

BooVI: Provably Efficient Bootstrapped Value Iteration.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2019

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy.

Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng

Proceedings of the 7th International Conference on Learning Representations, 2019