Seokin Seo

I am a PhD candidate at KAIST, co-advised by Kee-Eung Kim and Hongseok Yang.

Research Interest : Imitation learning, Reinforcement learning, Causal inference and Machine learning
E-mail : siseo@ai.kaist.ac.kr

Education

2017. 09 - 2019. 08 : MS, School of Computing, KAIST, Korea (Advisor: Kee-Eung Kim)

Thesis: A study on generating explanations for reinforcement learning policies in control tasks

2011. 02 - 2017. 08 : BS, Computer Science and Mathematics, Sogang University, Korea

Publications

International

📑 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

- Seokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
- Neural Information Processing Systems (NeurIPS) 2023 (spotlight)

📑 Information-Theoretic State Space Model for Multi-View Reinforcement Learning

- HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
- International Conference of Machine Learning (ICML) 2023 (oral presentation)

📑 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations

- Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
- International Conference on Learning Representations (ICLR) 2022

📑 Monte-Carlo Planning and Learning with Language Action Value Estimates

- Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
- International Conference on Learning Representations (ICLR) 2021

📑 A Bayesian Approach to Generative Adversarial Imitation Learning

- Wonseok Jeon, Seokin Seo, Kee-Eung Kim
- Neural Information Processing Systems (NeurIPS) 2018 (spotlight)

Domestic

📑 특징조합 교란자 균형을 통한 인과정규화된 로지스틱 회귀 개선 (Improving Causally-Regularized Logistic Regression via Confounder Balancing with Feature Combinations)

📑 관계적 메모리 코어 구조를 적용한 변분적 순환신경망 (Variational Recurrent Neural Networks with Relational Memory Core Architectures)

Academic Experiences

Reviewer

Teaching Assistance

KAIST Machine Learning Engineer Bootcamp: Introduction to Reinforcement Learning (2022)
KAIST-Samsung DS AI Expert Program : Dialogue System (2020)
Mathematics for AI (AI503) @KAIST (2021 Fall)
Machine Learning (CS376) @KAIST (2019 Fall)
Data Structure (CS206) @KAIST (2018 Spring, 2018 Fall)