Geon-Hyeong Kim

According to our database, Geon-Hyeong Kim authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

2022

LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation.

Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

CoRR, 2022

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation.

Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations.

Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multi-View Representation Learning via Total Correlation Objective.

HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Variational Interaction Information Maximization for Cross-domain Disentanglement.

HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Inference for Sequential Data with Future Likelihood Estimates.

Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

Proceedings of the 37th International Conference on Machine Learning, 2020

Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients.

Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Bayesian optimistic Kullback-Leibler exploration.

Kanghoon Lee, Geon-hyeong Kim, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim

Mach. Learn., 2019

Trust Region Sequential Variational Inference.

Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Monte-Carlo Tree Search for Constrained POMDPs.

Jongmin Lee, Geon-hyeong Kim, Pascal Poupart, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018