| 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, 2022 | 113 | 2022 |
| Monte-Carlo tree search for constrained POMDPs J Lee, GH Kim, P Poupart, KE Kim Advances in Neural Information Processing Systems 31, 2018 | 90 | 2018 |
| Variational interaction information maximization for cross-domain disentanglement HJ Hwang, GH Kim, S Hong, KE Kim Advances in Neural Information Processing Systems 33, 22479-22491, 2020 | 61 | 2020 |
| Multi-view representation learning via total correlation objective HJ Hwang, GH Kim, S Hong, KE Kim Advances in Neural Information Processing Systems 34, 12194-12207, 2021 | 56 | 2021 |
| Monte-carlo tree search in continuous action spaces with value gradients J Lee, W Jeon, GH Kim, KE Kim Proceedings of the AAAI conference on artificial intelligence 34 (04), 4561-4568, 2020 | 38 | 2020 |
| Lobsdice: Offline learning from observation via stationary distribution correction estimation GH Kim, J Lee, Y Jang, H Yang, KE Kim Advances in Neural Information Processing Systems 35, 8252-8264, 2022 | 28 | 2022 |
| Prospector: Improving LLM agents with self-asking and trajectory ranking B Kim, Y Jang, L Logeswaran, GH Kim, YJ Kim, H Lee, M Lee Findings of the Association for Computational Linguistics: EMNLP 2024, 14958 …, 2024 | 9 | 2024 |
| Variational inference for sequential data with future likelihood estimates GH Kim, Y Jang, H Yang, KE Kim International Conference on Machine Learning, 5296-5305, 2020 | 6 | 2020 |
| SafeDPO: A simple approach to direct preference optimization with enhanced safety GH Kim, Y Jang, YJ Kim, B Kim, H Lee, K Bae, M Lee arXiv preprint arXiv:2505.20065, 2025 | 5 | 2025 |
| Information-theoretic state space model for multi-view reinforcement learning HJ Hwang, S Seo, Y Jang, S Kim, GH Kim, S Hong, KE Kim | 5 | 2023 |
| Safedice: offline safe imitation learning with non-preferred demonstrations Y Jang, GH Kim, J Lee, S Sohn, B Kim, H Lee, M Lee Advances in Neural Information Processing Systems 36, 74921-74951, 2023 | 2 | 2023 |
| Trust region sequential variational inference GH Kim, Y Jang, J Lee, W Jeon, H Yang, KE Kim Asian conference on machine learning, 1033-1048, 2019 | 2 | 2019 |
| Bayesian optimistic kullback–leibler exploration K Lee, GH Kim, P Ortega, DD Lee, KE Kim Machine Learning 108 (5), 765-783, 2019 | 2 | 2019 |
| Online Pre-Training for Offline-to-Online Reinforcement Learning Y Shin, J Kim, W Jung, S Hong, D Yoon, Y Jang, G Kim, J Chae, Y Sung, ... arXiv preprint arXiv:2507.08387, 2025 | | 2025 |
| Degeneration-free policy optimization: RL fine-tuning for language models without degeneration Y Jang, GH Kim, B Kim, YJ Kim, H Lee, M Lee Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| DfPO: Degeneration-free Policy Optimization via Action Masking in Natural Language Action Spaces Y Jang, GH Kim, B Kim, H Lee, M Lee | | |
Kee-Eung KimKAISTkaist.ac.kr의 이메일 확인됨
Jongmin LeeYonsei Universityyonsei.ac.kr의 이메일 확인됨
HyeongJoo HwangSamsung AI Centersamsung.com의 이메일 확인됨
Youngsoo JangLG AI Researchlgresearch.ai의 이메일 확인됨
Hongseok YangProfessor, School of Computing, KAISTkaist.ac.kr의 이메일 확인됨
Wonseok JeonWaymowaymo.com의 이메일 확인됨
Seunghoon HongAssociate Professor, KAISTkaist.ac.kr의 이메일 확인됨
Daniel D. LeeTisch University Professor of ECE, Cornell Universityalum.mit.edu의 이메일 확인됨
Pedro A. OrtegaArtificial Intelligence & Machine Learningadaptiveagents.org의 이메일 확인됨