PhD Candidate @ School of Informatics, Xiamen University. Researching Reinforcement Learning, MARL, and World Models for Underwater Acoustic Communications.
- Multi-Agent Reinforcement Learning (MARL): Focused on coordination and decision-making in complex environments.
- World Models: Exploring environment imagination and predictive modeling for sample efficiency.
- Underwater Acoustic Communications (UAC): Applying advanced AI to solve real-world challenges in underwater networks.
"Scaling MARL to World Models for robust underwater intelligence."