| Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble S Lee, Y Seo, K Lee, P Abbeel, J Shin Conference on Robot Learning, 1702-1712, 2022 | 168 | 2022 |
| Context-aware dynamics model for generalization in model-based reinforcement learning K Lee, Y Seo, S Lee, H Lee, J Shin International Conference on Machine Learning, 5757-5766, 2020 | 132 | 2020 |
| State entropy maximization with random encoders for efficient exploration Y Seo, L Chen, J Shin, H Lee, P Abbeel, K Lee International Conference on Machine Learning, 9443-9454, 2021 | 126 | 2021 |
| Masked world models for visual control Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel Conference on Robot Learning, 1332-1344, 2023 | 105 | 2023 |
| Reinforcement Learning with Action-Free Pre-Training from Videos Y Seo, K Lee, S James, P Abbeel arXiv preprint arXiv:2203.13880, 2022 | 100 | 2022 |
| SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning J Park, Y Seo, J Shin, H Lee, P Abbeel, K Lee arXiv preprint arXiv:2203.10050, 2022 | 77 | 2022 |
| Learning What to Defer for Maximum Independent Sets S Ahn, Y Seo, J Shin International Conference on Machine Learning, 134-144, 2020 | 69 | 2020 |
| Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning J Kim, Y Seo, J Shin Advances in Neural Information Processing Systems 34, 2021 | 54 | 2021 |
| Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Y Seo, K Lee, I Clavera Gilaberte, T Kurutach, J Shin, P Abbeel Advances in Neural Information Processing Systems 33, 2020 | 39 | 2020 |
| 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, 30613-30632, 2023 | 36 | 2023 |
| Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning J Park, Y Seo, C Liu, L Zhao, T Qin, J Shin, TY Liu Advances in Neural Information Processing Systems 34, 2021 | 23 | 2021 |
| HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator Y Seo, K Lee, F Liu, S James, P Abbeel 2022 IEEE International Conference on Image Processing (ICIP), 3943-3947, 2022 | 17 | 2022 |
| Language Reward Modulation for Pretraining Reinforcement Learning A Adeniji, A Xie, C Sferrazza, Y Seo, S James, P Abbeel arXiv preprint arXiv:2308.12270, 2023 | 16 | 2023 |
| Imitating Graph-Based Planning with Goal-Conditioned Policies J Kim, Y Seo, S Ahn, K Son, J Shin The Eleventh International Conference on Learning Representations, 2023 | 10 | 2023 |
| Accelerating reinforcement learning with value-conditional state entropy exploration D Kim, J Shin, P Abbeel, Y Seo Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Guide Your Agent with Adaptive Multimodal Rewards C Kim, Y Seo, H Liu, L Lee, J Shin, H Lee, K Lee Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning V Vosylius, Y Seo, J Uruç, S James arXiv preprint arXiv:2405.18196, 2024 | 5 | 2024 |
| The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning C Sferrazza, Y Seo, H Liu, Y Lee, P Abbeel arXiv preprint arXiv:2311.00924, 2023 | 5 | 2023 |
| Continuous Control with Coarse-to-fine Reinforcement Learning Y Seo, J Uruç, S James arXiv preprint arXiv:2407.07787, 2024 | 1 | 2024 |
| Visual Representation Learning with Stochastic Frame Prediction H Jang, D Kim, J Kim, J Shin, P Abbeel, Y Seo Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
Jinwoo ShinKAIST Endowed Chair ProfessorVerified email at kaist.ac.kr
