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 Prof. Se-Young Yun and Prof. Chulhee Yun. Interested in mathematical and theoretical AI, where I am interested in explaining the recent success of machine/deep learning algorithms and designing mathematically well-grounded algorithms for various scenarios.