Hello! I am a Ph.D student at KAIST AI, advised by Jaegul Choo.
I am interested in reinforcement learning and robotics. My current research is focused on utilizing pre-trained foundational models for visuo-motor control.
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A skill discovery algorithm that learns diverse behaviors while following the behaviors in "do" videos while avoiding the behaviors in "don't" videos.
A simple add-on module which injects convolutions into pretrained ViTs for Visuo-motor Control.
An unsupervised skill discovery algorithm, which addresses the limited exploration of previous algorithms through explicit guidance.
We present a visual pre-training algorithm grounded in self-predictive learning principles tailored for reinforcement learning.
We construct a real estate appraisal framework that integrates spatial and temporal aspects, validated using a dataset of 3.6M real estate transactions in South Korea from 2016 to 2020.
We gathered data from 280,000 matches played by the top 0.3% rank players in Korea for League of Legends. From this, we developed DraftRec, a personalized champion recommendation system aimed at maximizing players' win rates.
Template based on Jon Barron's website.