πŸ‘‹ Hello, I'm Beanie

Jeonghye Kim

KAIST Graduate school of Electrical Engineering

I'm a first-year Ph.D. student at KAIST, advised by Prof. Youngchul Sung. Previously, I received B.S in Computer Science from KAIST and I have founded and operated an IT startup called DearPlants as the CEO.

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

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

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

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Neural Information Processing Systems Β (NeurIPS) 2024

Publication

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

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

International Conference on Learning Representations Β (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)

International Conference on Machine Learning Β (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

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

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

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