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Seokin Seo
Seokin Seo
Verified email at ai.kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Demodice: Offline imitation learning with supplementary imperfect demonstrations
GH Kim, S Seo, J Lee, W Jeon, HJ Hwang, H Yang, KE Kim
International Conference on Learning Representations, 2021
1282021
A bayesian approach to generative adversarial imitation learning
W Jeon, S Seo, KE Kim
Advances in neural information processing systems 31, 2018
592018
Monte-carlo planning and learning with language action value estimates
Y Jang, S Seo, J Lee, KE Kim
International Conference on Learning Representations, 2021
162021
Regularized behavior cloning for blocking the leakage of past action information
S Seo, HJ Hwang, H Yang, KE Kim
Advances in Neural Information Processing Systems 36, 2023
122023
Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models
S Lee, J Shin, Y Ahn, S Seo, O Kwon, KE Kim
arXiv preprint arXiv:2409.19382, 2024
62024
Information-theoretic state space model for multi-view reinforcement learning
HJ Hwang, S Seo, Y Jang, S Kim, GH Kim, S Hong, KE Kim
52023
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
S Seo, BJ Lee, J Lee, HJ Hwang, H Yang, KE Kim
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
42024
Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions
JB Maeng, S Lee, S Seo, KE Kim
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025
2025
특징조합 교란자 균형을 통한 인과정규화된 로지스틱 회귀 개선
서석인, 황형주, 양홍석, 김기응
한국정보과학회 학술발표논문집, 550-552, 2022
2022
관계적 메모리 코어 구조를 적용한 변분적 순환신경망
김건형, 서석인, 김신형, 김기응
정보과학회논문지 47 (2), 189-194, 2020
2020
Contrast with Aggregation: A Scalable Framework for Multi-View Representation Learning
HJ Hwang, AY Jin, H Kong, S Seo, S Hong, KE Kim
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Articles 1–11