Agentic Intelligence Lab

Research Areas

Our team at the Department of Data and Systems Engineering, The University of Hong Kong, specializes in Learning for Sequential Decision-Making and Robotic Control.

We are interested in advancing the following research areas:

Currently, we have three active research directions: Offline Reinforcement Learning for Controllable Nuclear Fusion, Continual Reinforcement Learning for Humanoid Robotic Control, and Learning-based Ego-centric Evolution within a Multi-agent System, of which more details are provided in the introduction.

How to join us

Current Openings
(If interested, please contact Dr. Jiayu Chen directly. The Ph.D. application system accepts submissions year-round.)

Qualifications for Ph.D. and Postdoctoral Researchers:
Candidates should possess strong proficiency in mathematics or programming, as well as demonstrate self-motivation and resilience. Applicants with backgrounds in the following areas are highly preferred: Humanoid Robots, Large Language/Reasoning Models, Control Theory, Optimization Theory, Statistical Machine Learning.

For more information, please refer to the respective categories in openings.