Statistical Learning in Structured Markov Chains and MDPs

Project #1. Clustered State Space

Nearly Optimal Latent State Decoding in Block MDPs

  • Accepted to AISTATS 2023
  • Joint work with Se-Young Yun (KAIST AI) and Yassir Jedra, Alexandre Proutière (KTH EECS).
  • Some empirical analyses:
  • Accepted to KSC 2023. Joint work with Se-Young Yun (KAIST AI).
    • Extended version accepted to KIISE Transactions on Computing Practices (invited). Also joint work with Se-Young Yun (KAIST AI).

Project #2. Mixture of Markov Chains and MDPs

Near-Optimal Clustering in Mixture of Markov Chains

  • arXiv preprint arXiv:2506.01324
  • Joint work with Yassir Jedra (MIT EECS -> ICL EEE), Alexandre Proutière (KTH EECS), and Se-Young Yun (KAIST AI).
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.