Li, Tongxin

7 publications

NeurIPS 2025 Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman

ICML 2024 Building Socially-Equitable Public Models Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren

NeurIPS 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions Tongxin Li, Hao Liu, Yisong Yue

NeurIPS 2024 Safe Exploitative Play with Untrusted Type Beliefs Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

NeurIPS 2023 Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren

NeurIPS 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman

NeurIPS 2022 Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman