Learning Mean-Field Games. - Xin Guo 001; Anran Hu; Renyuan Xu; Junzi Zhang (NeurIPS, 2019)

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. - Xin Guo 001; Anran Hu; Junzi Zhang (AAAI, 2022)

Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon. - Matteo Basei; Xin Guo 001; Anran Hu; Yufei Zhang 001 (J. Mach. Learn. Res., 2022)

MFGLib: A Library for Mean-Field Games. - Xin Guo 001; Anran Hu; Matteo Santamaria; Mahan Tajrobehkar; Junzi Zhang (CoRR, 2023)

Reinforcement Learning for Linear-Convex Models with Jumps via Stability Analysis of Feedback Controls. - Xin Guo 001; Anran Hu; Yufei Zhang 001 (SIAM J. Control. Optim., 2023)

A General Framework for Learning Mean-Field Games. - Xin Guo 001; Anran Hu; Renyuan Xu; Junzi Zhang (Math. Oper. Res., 2023)

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games. - Anran Hu; Junzi Zhang (CoRR, 2024)

Persona-L has Entered the Chat: Leveraging LLM and Ability-based Framework for Personas of People with Complex Needs. - Lipeipei Sun; Tianzi Qin; Anran Hu; Jiale Zhang; Shuojia Lin; Jianyan Chen; Mona Ali; Mirjana Prpa (CoRR, 2024)

MF-OMO: An Optimization Formulation of Mean-Field Games. - Xin Guo 001; Anran Hu; Junzi Zhang (SIAM J. Control. Optim., 2024)

Persona-L has Entered the Chat: Leveraging LLMs and Ability-based Framework for Personas of People with Complex Needs. - Lipeipei Sun; Tianzi Qin; Anran Hu; Jiale Zhang; Shuojia Lin; Jianyan Chen; Mona Ali; Mirjana Prpa (CHI, 2025)