Best oral presentation for KSC 2022 + invitation to submit to KTCP
Preliminary Empirical Analyses of Clustering in Block MDPs
Our KSC 2022 paper (Preliminary Empirical Analyses of Clustering in Block MDPs) has been selected as one of the best oral presentataions! Additionally, we have been invited to submit an extended version of our conference paper to the KIISE Transactions on Computing Practices (KTCP)!
This is joint work with my advisor Se-Young Yun (KAIST AI).
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.