πŸ‘‹ Hello, I'm Beanie

Jeonghye Kim

KAIST Graduate school of Electrical Engineering

I'm a Ph.D. student at KAIST, advised by Prof. Youngchul Sung. My research focuses on developing automated agents with high applicability in real-world contexts. To achieve this goal, I am actively involved in data-driven reinforcement learning (RL) and RL integrated with LLMs.

News

May. 2025

Three papers, including one spotlight poster, have been accepted to ICML 2025!

Sep. 2024

QCS has been accepted to NeurIPS 2024 and will be presented in Vancouver, Canada πŸ‡¨πŸ‡¦

Jan. 2024

DC has been accepted to ICLR 2024 as a spotlight presentation! See you in Vienna, Austria πŸ‡¦πŸ‡Ή

Mar. 2024

I’ve started as a research intern at LG AI Research!

Apr. 2023

My first paper, LESSON, has been accepted to ICML 2023! I hope to see you in Hawaii, USA πŸ‡ΊπŸ‡Έ

Publications

Publication

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data

Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim

*Work done during the LG AI Internship

ICML 2025

Spotlight (Top 2.6%)

Publication

Online Pre-Training for Offline-to-Online Reinforcement Learning

Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

*Work done during the LG AI Internship

ICML 2025

Publication

ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning

Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung

ICML 2025

Publication

Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

NeurIPS 2024

Publication

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making

Jeonghye Kim, Suyoung Lee, Woojun Kim*, Youngchul Sung*

ICLR 2024

Spotlight (Top 5%)

Publication

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework

Woojun Kim*, Jeonghye Kim*, Youngchul Sung (*: equal contribution)

ICML 2023

Education

2024.03~

⚑ Ph.D. Candidate in Electrical Engineering, KAIST

* advised by Prof. Youngchul Sung

2022.03-2024.02

⚑ M.S. in Electrical Engineering, KAIST

* advised by Prof. Youngchul Sung

2015.03-2022.02

πŸ‘©β€πŸ’» B.S. in School of Computing, KAIST (Cum laude)

Work Experience

2025.03~

πŸ‘©β€πŸ’Ό Research Intern @ Machine Intelligence Lab, SNU

2024.03-2024.12

LG Symbol Research Intern @ LG AI Research

2020.06-2021.11

πŸͺ΄ CEO @ Dearplants

2018 winter

πŸ‘©β€πŸ’Ό Research Intern @ CSS Lab, SNU

Academic Services

Reviewer

: NeurIPS (2024), ICLR (2024, 2025), ICML (2024, 2025), FMDM@NeurIPS (2023)

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