Welfare and Fairness in Multi-objective Reinforcement Learning. - Zimeng Fan 002; Nianli Peng; Muhang Tian; Brandon Fain (AAMAS, 2023)

Nonlinear Multi-objective Reinforcement Learning with Provable Guarantees. - Nianli Peng; Brandon Fain (CoRR, 2023)

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics. - Jingxuan Fan; Sarah Martinson; Erik Y. Wang; Kaylie Hausknecht; Jonah Brenner; Danxian Liu; Nianli Peng; Corey Wang; Michael P. Brenner (ICLR, 2025)

Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return. - Nianli Peng; Muhang Tian; Brandon Fain (AAMAS, 2025)

Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games. - Nianli Peng; Yilin Wang (CoRR, 2025)