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 Profs. Se-Young Yun and Chulhee Yun. Research focuses on interactive machine learning, particularly at the intersection of RLHF and preference learning, and statistical analyses of large networks, with an emphasis on community detection. Broadly interested in mathematical and theoretical AI and related problems in mathematics.