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Youngwoon Lee

Ph.D. Candidate
CLVR Lab, University of Southern California


I am a fourth-year Ph.D. student at USC advised by Professor Joseph J. Lim. My research interests are in deep reinforcement learning, imitation learning, and sim-to-real transfer for robotics. Particularly, I focus on developing efficient and compositional robot learning algorithms that make robots learn complex real-world tasks by incorporating prior knowledge.

Before joining USC, I received B.S. and M.S. degrees in computer science from KAIST, Korea advised by Professor Sung-Eui Yoon. In Summer 2020, I have interned with Yuke Zhu, Byron Boots, and Anima Anandkumar at NVIDIA Research.


  • One paper is accepted to ICRA 2021
  • SPiRL won the best paper presentation award at CoRL 2020
  • Two papers are accepted to CoRL 2020
  • In Summer 2020, I will be a research intern at NVIDIA Research
  • One paper is accepted to ICLR 2020
  • We release IKEA Furniture Assembly Environment for Complex Robot Manipulation Benchmark
  • One paper is accepted to CoRL 2019
  • One paper is accepted to ICLR 2019

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