| Guiding deep molecular optimization with genetic exploration S Ahn, J Kim, H Lee, J Shin Advances in Neural Information Processing Systems, 2020 | 78 | 2020 |
| Landmark-guided subgoal generation in hierarchical reinforcement learning J Kim, Y Seo, J Shin Advances in Neural Information Processing Systems, 2021 | 53 | 2021 |
| Multi-View Masked World Models for Visual Robotic Manipulation Y Seo*, J Kim*, S James, K Lee, J Shin, P Abbeel International Conference on Machine Learning, 2023 | 30 | 2023 |
| Self-Improved Retrosynthetic Planning J Kim, S Ahn, H Lee, J Shin International Conference on Machine Learning, 2021 | 25 | 2021 |
| Imitating Graph-Based Planning with Goal-Conditioned Policies J Kim, Y Seo, S Ahn, K Son, J Shin International Conference on Learning Representations, 2023 | 8 | 2023 |
| Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning K Son, J Kim, S Ahn, RDD Reyes, Y Yi, J Shin International Conference on Machine Learning, 2022 | 8 | 2022 |
| Holistic Molecular Representation Learning via Multi-view Fragmentation S Kim, J Nam, J Kim, H Lee, S Ahn, J Shin Transactions on Machine Learning Research, 2024 | 6* | 2024 |
| Visual Representation Learning with Stochastic Frame Prediction H Jang, D Kim, J Kim, J Shin, P Abbeel, Y Seo International Conference on Machine Learning, 2024 | 1 | 2024 |
| Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization C Kim*, J Kim*, Y Seo, K Lee, H Lee, J Shin 3rd Offline RL Workshop: Offline RL as a ''Launchpad'', 2022 | | 2022 |
Jinwoo ShinKAIST Endowed Chair Professor在 kaist.ac.kr 的电子邮件经过验证
