One paper accepted to AISTATS 2023!

Nearly Optimal Latent State Decoding in Block MDPs

One paper (Nearly Optimal Latent State Decoding in Block MDPs) is accepted to AISTATS 2023! This is joint work with my advisor Se-Young Yun (KAIST AI), and Yassir Jedra and Alexandre Proutiére (KTH EECS).

I’ll be attending in person. See you all at Valencia, Spain!

Junghyun Lee
Junghyun Lee
PhD Student

PhD student at GSAI, KAIST, jointly advised by Prof. Se-Young Yun and Prof. Chulhee Yun. Interested in mathematical and theoretical AI, i.e., essentially any machine learning challenges necessitating mathematical analysis. Recently focused on statistical problems arising from RLHF, including interactive machine learning and low-dimensional structure recovery.