Yen-Jen Wang
Yen-Jen Wang is a Ph.D. student in Computer Science at UC Berkeley, advised by Pieter Abbeel and Shankar Sastry, where he is a member of Berkeley AI Research (BAIR) and the EMBER Center. He is also an Applied Scientist Intern on the Frontier AI & Robotics (FAR) team at Amazon. He is best known for his research on embodied learning, humanoid control, and dexterous manipulation, including as lead author of the RPG (Reconstruct, Practice, Go Real) framework for autonomous improvement of robot execution systems without updating model weights.
“We present Reconstruct, Practice, Go Real (RPG), a framework for autonomous improvement of robot execution systems without updating model weights.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.