Seunghoon Kim

I am a M.S. student at the CLVR Lab, part of the Graduate School of AI at KAIST, where I research on reinforcement learning and robotics. My advisor is Professor Joseph J. Lim.

I received my B.S. degree in Mechanical Engineering and Computer Science and Engineering from Seoul National University. From 2023 to 2025, I worked as an undergraduate research intern at SNU Decision Making Lab under Professor Min-hwan Oh, where I worked on decision making problems such as dynamic pricing and online matching bandits.

GitHub  /  CV

profile photo

Research Goal

My goal is to develop intelligence which can make decisions and interact with the real world. My research interests are reinforcement learning and robotics, especially identifying the bottlenecks of applying RL to robotics and making it scalable.

Publications

project image

Practical Dynamic Pricing with Optimistic Likelihoood Estimation


Hyungkyu Kang*, Seunghoon Kim*, Young-geun Choi, Min-hwan Oh
under review, 2025

Proposed practical algorithm using general function approximation for dynamic pricing.




Projects

These include coursework and projects.

project image

Dispersion of Droplet Group Through Mesh


project
2024-12-06
paper /

Observed and analyzed the behaviors of water droplets passing through metal mesh.


Design and source code from Jon Barron's website