Has work related to the Open Invited Track of IFAC2026; recent work by the team can be found in slides on the website.
Research Experience
The team's research covers the theory and application of reinforcement learning, machine learning, control, and their interplay.
Background
Research interests include reinforcement learning theory and applications, control theory and applications, machine learning applications, artificial intelligence, AI applications in robots and self-driving cars, AI-based data science, AI-based large-scale language models, and the interplay among different disciplines.
Miscellany
Interest in math arts; involved in industrial projects; seeking potential collaboration opportunities; welcoming prospective students.