no code implementations • 2 Jun 2022 • Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven Low, Adam Wierman
Machine-learned black-box policies are ubiquitous for nonlinear control problems.
no code implementations • NeurIPS 2021 • Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
Motivated by online learning methods, we design a self-tuning policy that adaptively learns the trust parameter $\lambda$ with a competitive ratio that depends on $\varepsilon$ and the variation of system perturbations and predictions.
