Hi! I am an undergraduate student at GIST, where I work with Prof. Sundong Kim at GIST, Prof. Lexin Li at UC Berkeley, and Prof. Yuhua Zhu at UCLA.
I am interested in developing foundational models for decision-making.
My current research focuses on three key directions:
(1) Scalable reinforcement learning, to build agents
that scale with data and compute across large task families.
(2) Unsupervised Reinforcement learning, to pretrain
generalist agents via intrinsic-motivation-driven exploration
that discovers diverse, reusable skills.
(3) Open-ended curricula, to continuously expose agents
to novel yet learnable tasks.
Previously, I worked as a machine learning software engineer at Match Group/Hyperconnect LLC and several other companies, where I gained hands-on experience deploying large-scale machine learning systems in production.
Feel free to reach out if you'd like to have a chat!
Contact: gwcho.public AT gmail.com
