Kyungmin Lee

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Hello! I am a Ph.D student at KAIST AI, advised by Jaegul Choo.

I am interested in developing intelligent agents capable of fast adaptation, and generalization in dynamic environments. My research focuses on reinforcement learning and self-supervised learning, with applications in gaming and robotics.

Previously, I received B.S at Korea University, 2023.

Email  /  Google Scholar  /  Github

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Publications

icml2024atari-pb
Reinforcement Learning Pre-training
ATARI-PB: Investigating Pre-Training Objectives for Generalization in Pixel-Based RL
Donghu Kim*, Hojoon Lee*, Kyungmin Lee*, Dongyoon Hwang, Jaegul Choo.
ICML'24.

We investigate which pre-training objectives are beneficial for in-distribution, near-out-of-distribution, and far-out-of-distribution generalization in visual reinforcement learning.

Template based on Hojoon Lee's website.