SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning D Shim, S Lee, HJ Kim The Fortieth International Conference on Machine Learning, 2023 | 12 | 2023 |
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning S Lee, J Kim, I Jang, HJ Kim Advances in Neural Information Processing Systems 35, 13668-13678, 2022 | 10 | 2022 |
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation D Cho, S Lee, HJ Kim The Eleventh International Conference on Learning Representations, 2023 | 9 | 2023 |
Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments I Jang, D Lee, S Lee, HJ Kim 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 3 | 2021 |
Deep End-to-end Imitation Learning for Missile Guidance With Infrared Images S Lee, J Shin, HG Kim, D Cho, HJ Kim International Journal of Control, Automation and Systems 21 (10), 3419-3429, 2023 | 1 | 2023 |
Behavior Generation with Latent Actions S Lee, Y Wang, H Etukuru, HJ Kim, NMM Shafiullah, L Pinto arXiv preprint arXiv:2403.03181, 2024 | | 2024 |
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement D Cho, S Lee, HJ Kim Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
CQM: Curriculum Reinforcement Learning with a Quantized World Model S Lee, D Cho, J Park, HJ Kim Advances in Neural Information Processing Systems 36, 2023 | | 2023 |