3 papers
cs.LG2026
Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
Kaikai Zheng, Dawei Shi, Yang Shi +1
Thompson sampling (TS) is a Bayesian randomized exploration strategy that samples options (e.g., system parameters or control laws) from the current posterior and then applies the…
eess.SY2025
Open-/Closed-loop Active Learning for Data-driven Predictive Control
Shilun Feng, Dawei Shi, Yang Shi +1
An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear syste…
eess.SY2025
Information-triggered Learning with Application to Learning-based Predictive Control
Kaikai Zheng, Dawei Shi, Sandra Hirche +1
Learning-based control has attracted significant attention in recent years, especially for plants that are difficult to model based on first-principles. A key issue in learning-bas…