Posts

Our preprint Communication-Efficient Collaborative Heterogeneous Bandits in Networks is now available on arXiv! (https://arxiv.org/abs/2303.05445) This is joint work with Laura Schmid and Se-Young Yun (KAIST AI). This is the full version of our MobiHoc 2023 submission of the same title.

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)!

Our recent AISTATS paper, Nearly Optimal Latent State Decoding in Block MDPs, has been invited to be presented at the invited session “Stochastic learning in structured systems” at INFORMS APS 2023 (chair: Prof.

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’ve successfully defended my MSc thesis, titled Near-Optimal Clustering in Block Markov Decision Processes! Special thanks to the thesis committee: Se-Young Yun, Chulhee Yun, and Kee-Eung Kim (KAIST AI). Thesis as well as presentation file coming soon!

As part of the program The Way to Stockholm, sponsored by the Korea Foundation of Advanced Studies (KFAS), I’ll be in Stockholm from 12/06 to 12/12 to attend the Nobel Prize Lectures, Nobel Prize Dialogue, and more!

One paper (Preliminary Empirical Analyses of Clustering in Block MDPs) is accepted to KSC 2022! This is joint work with Se-Young Yun (KAIST AI). More details to come!

Our preprint Nearly Optimal Latent State Decoding in Block MDPs is now available on arXiv! (https://arxiv.org/pdf/2208.08480.pdf) This is joint work with Yassir Jedra and Alexandre Proutiere (KTH EECS), and Se-Young Yun (KAIST AI).

I will be serving as a reviewer for AAAI 2023. This is my first time reviewing. Very excited..!

One paper (Near-Optimal Clustering in Block MDPs with Implications on Reward-Free RL) is accepted to CKAIA 2022! This is joint work with Yassir Jedra and Alexandre Proutiere (KTH DCS), and Se-Young Yun (KAIST AI).