Speaker: Prof. Chun-Yi Lee, National Taiwan University CSIE
Date & Time: Tuesday, October 6, 2026, 13:00-15:00
Venue: 11th Floor, Management Building AI Lecture Hall,
Meeting Link: https://reurl.cc/DYKy9e  or scan the QR code on the poster

About the Speaker：
Chun-Yi Lee is a Professor in the Department of Computer Science and Information Engineering at National Taiwan University and the supervisor of Elsa Lab. He holds a Ph.D. in Electrical Engineering from Princeton University. His research spans deep reinforcement learning, intelligent robotics, computer vision, and generative AI. He is a recipient of the 2026 Academia Sinica Scholar Award and the K. T. Li Breakthrough Award.

Lecture Abstract：

World models learn to predict how an environment evolves and are fast becoming a foundation for physical AI. This talk reviews recent progress, from model-based reinforcement learning (DreamerV3) and generative interactive world models (Genie, NVIDIA Cosmos) to self-supervised, prediction-based models such as Meta's V-JEPA and V-JEPA 2. It then turns to world-action models, which couple a learned world model with action for planning and control. Through examples such as V-JEPA 2-AC and Cosmos Policy, it shows how these models enable zero-shot robot planning, before closing with the main open challenges and opportunities.