Changyeon Kim
changyeon.kim [AT] kaist.ac.kr
Hello. I am a PhD student at KAIST, advised by Jinwoo Shin and Kimin Lee. Currently, I am working closely with Honglak Lee at University of Michigan.
My research interest lies on applying RL algorithms to challenging tasks where reward specification is burdensome. To this end, I am focusing on designing RL algorithms to tackle practical and challenging scenarios like unseen novel environments and environments without well-shaped rewards. I am also broadly interested in RL researches including RL with representation learning, language‐conditioned RL, and offline RL.
Prior to my graduate studies, I was a machine learning engineer at Recommendation Team of Kakao. Before that, I completed my BS in Computer Science at KAIST.
News
| Sep 22, 2023 | ARP has been accepted to NeurIPS 2023. See you in New Orleans  ! |
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| Jun 19, 2023 | I will attend ICML 2023 in person for presenting workshop paper (ARP). Feel free to contact to meet or chat in Hawaii, USA . |
| Jan 21, 2023 | Preference Transformer is accepted to ICLR2023  . Hope to see you in Kigali, Rwanda  ! |
Publications
Work Experience
Recommendation Team, Kakao
Machine Learning Engineer (Dec 2020 ~ Feb 2022)
Data Science Group, Institute of Basic Science
Resarch Intern advised by Prof. Meeyoung Cha (Jul 2019 - Nov 2020)
Honors and Awards
Travel Award ($2,000), Conference on Neural Information Processing Systems (NeurIPS), 2023Recipient ($3,000), KAIST-Google Partnership Program, 2023
Recipient ($2,000), Google East Asia Student Travel Grant, 2023
Travel Award ($1,000), International Conference on Learning Representations (ICLR), 2023
Dean's List, KAIST Department of Engineering, 2019
Recipient ($5,000), Line Scholarship, 2019
Recipient, National Science and Engineering Scholarship, Korea Ministry of Science and ICT, 2017 - 2019
Recipient ($3,000), Kwanjeong Scholarship, 2017