Beanie

👋 Hello, I'm Beanie

Jeonghye Kim

KAIST Graduate school of Electrical Engineering

I am a 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 is centered on developing automated agents with high applicability in real-world contexts. To achieve this goal, I am actively involved in foundation models for decision making, language-based reinforcement learning, and reinforcement learning in environments with limited rewards.

News

Jan. 2024

DC has been accepted to ICLR 2024 as a spotlight presentation! See you in Vienna, Austria 🇦🇹

Apr. 2023

My first paper, LESSON, has been accepted to ICML 2023! I hope to see you in Hawaii, USA 🇺🇸

Publications

Value-Aided Conditional Supervised Learning for Offline RL

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Under-review

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

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

International Conference on Learning Representations (ICLR) 2024

Spotlight (Top 5%)

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 (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

👩‍💻 B.S. in School of Computing, KAIST (Cum laude)

Work Experience

2020.06-2021.11

🪴 CEO @ Dearplants

2018 winter

👩‍💼 Research Intern @ CSS Lab, SNU

Academic Services

Reviewer

: FMDM@NeurIPS 2023, ICML 2024

Teaching Experience

Fall 2023

TA, EE214 Machine Learning Basics and Practices, KAIST

Spring 2023

TA, EE619 Mathematical Foundations of Reinforcement Learning, KAIST

Fall 2022

TA, EE210 Probability and Introductory Random Processes, KAIST

Fall 2018

TA, CS101 Introduction to Programming, KAIST

2016~2017

Student Tutor, MAS102 Calculus II, KAIST

Awards

2021.03

Pre-Startup Package specialized area(AI) Excellence award

news article : https://m.etnews.com/20210325000060

2020.08

Selected for agriculture specialized accelerating program B.grow (16:1 competition rate)

news article : https://platum.kr/archives/146526

2020.05

KAIST startup challenge E*5 3rd place

news article : Interview @ Startup, KAIST