Tung Luu

tungluu2203 at gmail dot com

Hi! I am a final-year Ph.D. candidate in Electrical Engineering at the Korea Advanced Institute of Science and Technology (KAIST), where I am fortunate to be advised by Prof. Chang D. Yoo. I am a member of Artificial Intelligence & Machine Learning (U-AIM) Lab. My research focuses on deep reinforcement learning, preference learning, and robot learning.

I received my M.S. from Electrical Engineering, KAIST in 2020, advised by Prof. Chang D. Yoo. Before coming to KAIST, I received my B.Eng. in Electrical and Electronic Engineering from Hanoi University of Science and Technology (HUST) in 2017, advised by Prof. Duc-Minh Nguyen.

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News
  • 05/2026: Two papers have been accepted at ICML 2026 (one selected for an Oral presentation).
  • 06/2025: A paper has been accepted at IROS 2025.
  • 05/2025: A paper has been accepted at ICML 2025.
  • 12/2024: Two papers have been accepted at ICASSP 2025.
  • 06/2024: Two papers have been accepted at IROS 2024.
  • Research ( Highlighted / All )
    (* indicates equal contribution, indicates equal advising)
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    Conference Reviewing
  • ICML (2026), ICLR (2025, 2026), ICCV (2025), ECCV (2024), IROS (2024, 2025), ICRA (2022).
  • Teaching Assistance
  • Seongnam - KAIST Next Generation ICT Research Center Reinforcement Learning Course: 2024 Fall
  • Seongnam - KAIST Next Generation ICT Research Center EE Co-op+ Joint Research Program: 2022 Fall, 2023 Spring
  • Statistical Learning Theory: 2019 Fall, 2020 Fall
  • Introduction to Machine Learning: 2020 Spring
  • Experience
  • 2015-2017 Software Engineer at G-Innovations
  • 2014-2017 Undergradute Researcher at EDABK Lab