Ph.D. Student
School of Computing
KAIST, South Korea
I am a Ph.D. student in the School of Computing at KAIST, working with Prof. Sungjin Ahn. My research interests are human-like reinforcement learning and model-based world models. Currently, I seek problems that are easy to solve for humans but not AI. I am also studying general-purpose core components to make powerful and efficient AI. My CV can be found here.
Contact
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e-mail: jyp10987 at {gmail.com, kaist.ac.kr}
Research Interest
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Reinforcement Learning
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General-purpose Artificial Intelligence
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Open-Ended Embodied Agents
Publications
(* denotes equal contribution)
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MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory
Junyeong Park*, Junmo Cho*, Sungjin Ahn
ICLR 25
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Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng, Junyeong Park, Sungjin Ahn
NeurIPS 23
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Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
Yeongbin Kim*, Gautam Singh*, Junyeong Park, Caglar Glucehre, Sungjin Ahn
NeurIPS 23
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A statistical approach for detecting AI-assisted cheating in the game of Go
Junyeong Park, Jungyu Im, Sojin On, Sung Jong Lee, Jooyoung Lee
JKPS 22