About me

I am a first-year CS Ph.D. student at the University of Pennsylvania advised by Professor Dinesh Jayaraman. I received my MS and BS in CS from the University of Southern California, where I was advised by Professor Joseph J. Lim. In the past, I served as a tech lead at Code The Change developing software for nonprofits and interned at Tesla and Intel.


I am interested in developing data-driven, robotic perception and control algorithms. I am specifically interested in imitation learning, model-based reinforcement learning, and representation learning for manipulation tasks.

IKEA Furniture Assembly Environment

Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim

Arxiv, In Submission

[Website] [Paper]

To Follow or not to Follow: Selective Imitation Learning from Observations

Youngwoon Lee, Edward S. Hu, Zhengyu Yang Joseph J. Lim

CoRL, 2019, Osaka, Japan

[Website] [Paper] [Spotlight]

Composing Complex Skills by Learning Transition Policies

Youngwoon Lee, Shao-hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim

ICLR, 2019, New Orleans, Lousiana

[Website] [Paper] [Code]


  • I’ve accepted a Ph.D. offer to work with Professor Dinesh Jayaraman at the University of Pennsylvania!
  • I’ve been awarded the Best Research Award from the USC Computer Science Department
  • Our IKEA furniture assembly environment has been featured in WIRED Magazine
  • My second paper on Imitation Learning has been accepted to CoRL 2019
  • I’ve been awarded the Robert Fulton scholarship for MS and the Discovery Scholar distinction for my BS
  • My first paper on Hierarchical Reinforcement Learning has been accepted to ICLR 2019
  • I’ve accepted an internship with Tesla for summer 2018
  • My final project for CS599: Deep Learning has won 1st place in best writeup and best demo
  • I’ve accepted an internship with Intel for summer 2017


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