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Youngwoon Lee

Ph.D. Candidate
University of Southern California
     

I am a sixth-year Ph.D. student at USC advised by Joseph J. Lim, and currently visiting Pieter Abbeel's lab at UC Berkeley. My research interests are in deep reinforcement learning, imitation learning, and simulation-to-real transfer for robotics. Particularly, I focus on developing scalable and compositional robot learning algorithms that make robots learn complex long-horizon tasks by incorporating prior knowledge and data.

In Summer 2020, I have interned with Yuke Zhu and Anima Anandkumar at NVIDIA Research. I also have interned at NAVER CLOVA (2021) and SKT T-Brain (2018) over the summers. Before joining USC, I received B.S. and M.S. degrees in computer science from KAIST advised by Sung-Eui Yoon.

News

  • [Sep, 2022] One paper is accepted to CoRL 2022
  • [Jul, 2022] I am joining Pieter Abbeel's lab at UC Berkeley as a postdoc
  • [May, 2022] I am selected as a 2022 RSS Pioneer
  • [Apr, 2022] I am an invited speaker on the GRASP SFI seminar series at U. Penn
  • [Sep, 2021] One paper is accepted to NeurIPS 2021
  • [Sep, 2021] Three papers are accepted to CoRL 2021
  • [May, 2021] One paper is accepted to RSS 2021
  • [May, 2021] I am co-organizing the workshop on Combining Learning and Motion Planning at IROS 2021
  • [Feb, 2021] IKEA Furniture Assembly Environment is accepted to ICRA 2021
  • [Nov, 2020] SPiRL won the best paper presentation award at CoRL 2020
  • [Oct, 2020] Two papers are accepted to CoRL 2020
  • [May, 2020] In Summer 2020, I will be a research intern at NVIDIA Research
  • [Dec, 2019] One paper is accepted to ICLR 2020
  • [Nov, 2019] We release IKEA Furniture Assembly Environment for Complex Robot Manipulation Benchmark
  • [Sep, 2019] One paper is accepted to CoRL 2019
  • [Dec, 2018] One paper is accepted to ICLR 2019

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