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2020 – today
- 2024
[c12]Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. EMNLP (Findings) 2024: 14958-14976- [c11]Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. ICML 2024 - 2023
- [c10]HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Information-Theoretic State Space Model for Multi-View Reinforcement Learning. ICML 2023: 14249-14282 - [c9]Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee:
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS 2023 - 2022
- [c8]Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim:
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. ICLR 2022 - [c7]Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation. NeurIPS 2022 - [i2]Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation. CoRR abs/2202.13536 (2022) - 2021
- [c6]HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Multi-View Representation Learning via Total Correlation Objective. NeurIPS 2021: 12194-12207 - 2020
- [c5]Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim:
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. AAAI 2020: 4561-4568 - [c4]Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
Variational Inference for Sequential Data with Future Likelihood Estimates. ICML 2020: 5296-5305 - [c3]HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Variational Interaction Information Maximization for Cross-domain Disentanglement. NeurIPS 2020 - [i1]HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Variational Interaction Information Maximization for Cross-domain Disentanglement. CoRR abs/2012.04251 (2020)
2010 – 2019
- 2019
- [j1]Kanghoon Lee, Geon-hyeong Kim
, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim:
Bayesian optimistic Kullback-Leibler exploration. Mach. Learn. 108(5): 765-783 (2019) - [c2]Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim:
Trust Region Sequential Variational Inference. ACML 2019: 1033-1048 - 2018
- [c1]Jongmin Lee, Geon-hyeong Kim, Pascal Poupart, Kee-Eung Kim:
Monte-Carlo Tree Search for Constrained POMDPs. NeurIPS 2018: 7934-7943
Coauthor Index
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