Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. - Yuan Xie 005; Boyi Liu 001; Qiang Liu 001; Zhaoran Wang 001; Yuan Zhou 007; Jian Peng 001 (ICLR (Poster), 2019)

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2019)

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2019)

BooVI: Provably Efficient Bootstrapped Value Iteration. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2021)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (CoRR, 2021)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (NeurIPS, 2022)

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. - Fengzhuo Zhang; Boyi Liu 001; Kaixin Wang; Vincent Y. F. Tan; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2022)

Differentiable Bilevel Programming for Stackelberg Congestion Games. - Jiayang Li 001; Jing Yu; Qianni Wang; Boyi Liu 001; Zhaoran Wang 001; Yu Marco Nie (CoRR, 2022)

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. - Yufeng Zhang 007; Boyi Liu 001; Qi Cai; Lingxiao Wang 003; Zhaoran Wang 001 (CoRR, 2022)

Differentiable Arbitrating in Zero-sum Markov Games. - Jing Wang; Meichen Song; Feng Gao; Boyi Liu 001; Zhaoran Wang 001; Yi Wu 013 (AAMAS, 2023)

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. - Jiayang Li 001; Jing Yu; Boyi Liu 001; Yu Marco Nie; Zhaoran Wang 001 (ICML, 2023)

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. - Shenao Zhang; Boyi Liu 001; Zhaoran Wang 001; Tuo Zhao (NeurIPS, 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 001; Zhaoran Wang 001 (CoRR, 2023)

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. - Zihao Li; Boyi Liu 001; Zhuoran Yang; Zhaoran Wang 001; Mengdi Wang (J. Mach. Learn. Res., 2023)

Let Models Speak Ciphers: Multiagent Debate through Embeddings. - Chau Pham 001; Boyi Liu 001; Yingxiang Yang; Zhengyu Chen 001; Tianyi Liu; Jianbo Yuan; Bryan A. Plummer; Zhaoran Wang 001; Hongxia Yang (ICLR, 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 001; Zhaoran Wang 001 (ICML, 2024)

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. - Zhihan Liu; Miao Lu; Shenao Zhang; Boyi Liu 001; Hongyi Guo; Yingxiang Yang; Jose H. Blanchet; Zhaoran Wang 001 (NeurIPS, 2024)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Shenao Zhang; Zhihan Liu; Boyi Liu 001; Yufeng Zhang 007; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang 001 (CoRR, 2024)

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. - Han Zhong 001; Yutong Yin; Shenao Zhang; Xiaojun Xu; Yuanxin Liu; Yifei Zuo; Zhihan Liu; Boyi Liu 001; Sirui Zheng; Hongyi Guo; Liwei Wang 001; Mingyi Hong 001; et al. (CoRR, 2025)