The Power of Predictions in Online Control. - Chenkai Yu; Guanya Shi; Soon-Jo Chung; Yisong Yue; Adam Wierman (NeurIPS, 2020)

Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. - Guannan Qu; Chenkai Yu; Steven H. Low; Adam Wierman (CoRR, 2020)

Timely Information from Prediction Markets. - Grant Schoenebeck; Chenkai Yu; Fang-Yi Yu (AAMAS, 2021)

Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. - Guannan Qu; Chenkai Yu; Steven H. Low; Adam Wierman (CDC, 2021)

Robustness and Consistency in Linear Quadratic Control with Predictions. - Tongxin Li; Ruixiao Yang; Guannan Qu; Guanya Shi; Chenkai Yu; Adam Wierman; Steven H. Low (CoRR, 2021)

Competitive Control with Delayed Imperfect Information. - Chenkai Yu; Guanya Shi; Soon-Jo Chung; Yisong Yue; Adam Wierman (ACC, 2022)

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. - Tongxin Li; Ruixiao Yang; Guannan Qu; Guanya Shi; Chenkai Yu; Adam Wierman; Steven H. Low (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Price Cycles in Ridesharing Platforms. - Chenkai Yu; Hongyao Ma; Adam Wierman (WINE, 2023)

Iterative Network Pricing for Ridesharing Platforms. - Chenkai Yu; Hongyao Ma (CoRR, 2023)