Monte-Carlo Tree Search for Constrained POMDPs. - Jongmin Lee 004; Geon-hyeong Kim; Pascal Poupart; Kee-Eung Kim (NeurIPS, 2018)

Trust Region Sequential Variational Inference. - Geon-hyeong Kim; Youngsoo Jang; Jongmin Lee 004; Wonseok Jeon; Hongseok Yang; Kee-Eung Kim (ACML, 2019)

Bayesian optimistic Kullback-Leibler exploration. - Kanghoon Lee; Geon-hyeong Kim; Pedro A. Ortega; Daniel D. Lee; Kee-Eung Kim (Mach. Learn., 2019)

Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. - Jongmin Lee 004; Wonseok Jeon; Geon-Hyeong Kim; Kee-Eung Kim (AAAI, 2020)

Variational Inference for Sequential Data with Future Likelihood Estimates. - Geon-Hyeong Kim; Youngsoo Jang; Hongseok Yang; Kee-Eung Kim (ICML, 2020)

Variational Interaction Information Maximization for Cross-domain Disentanglement. - HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim (NeurIPS, 2020)

Multi-View Representation Learning via Total Correlation Objective. - HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim (NeurIPS, 2021)

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. - Geon-Hyeong Kim; Seokin Seo; Jongmin Lee 004; Wonseok Jeon; HyeongJoo Hwang; Hongseok Yang; Kee-Eung Kim (ICLR, 2022)

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation. - Geon-Hyeong Kim; Jongmin Lee 004; Youngsoo Jang; Hongseok Yang; Kee-Eung Kim (NeurIPS, 2022)

LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation. - Geon-Hyeong Kim; Jongmin Lee 004; Youngsoo Jang; Hongseok Yang; Kee-Eung Kim (CoRR, 2022)

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 (ICML, 2023)

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. - Youngsoo Jang; Geon-Hyeong Kim; Jongmin Lee 004; Sungryull Sohn; Byoungjip Kim; Honglak Lee; Moontae Lee (NeurIPS, 2023)

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. - Byoungjip Kim; Youngsoo Jang; Lajanugen Logeswaran; Geon-Hyeong Kim; Yu Jin Kim; Honglak Lee; Moontae Lee (EMNLP (Findings), 2024)

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. - Youngsoo Jang; Geon-Hyeong Kim; Byoungjip Kim; Yu Jin Kim; Honglak Lee; Moontae Lee (ICML, 2024)

SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety. - Geon-Hyeong Kim; Youngsoo Jang; Yu Jin Kim; Byoungjip Kim; Honglak Lee; Kyunghoon Bae; Moontae Lee (CoRR, 2025)