| Mixgail: Autonomous driving using demonstrations with mixed qualities G Lee, D Kim, W Oh, K Lee, S Oh 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 23 | 2020 |
| Efficient off-policy safe reinforcement learning using trust region conditional value at risk D Kim, S Oh IEEE Robotics and Automation Letters 7 (3), 7644-7651, 2022 | 22 | 2022 |
| TRC: Trust region conditional value at risk for safe reinforcement learning D Kim, S Oh IEEE Robotics and Automation Letters 7 (2), 2621-2628, 2022 | 18 | 2022 |
| Trust region-based safe distributional reinforcement learning for multiple constraints D Kim, K Lee, S Oh Advances in neural information processing systems 36, 2024 | 14 | 2024 |
| Road graphical neural networks for autonomous roundabout driving T Ha, G Lee, D Kim, S Oh 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 8 | 2021 |
| Scale-Invariant Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning D Kim, M Hong, J Park, S Oh arXiv preprint arXiv:2403.00282, 2024 | 5 | 2024 |
| Sdf-based graph convolutional q-networks for rearrangement of multiple objects H Kee, M Kang, D Kim, J Choy, S Oh 2023 IEEE International Conference on Robotics and Automation (ICRA), 8054-8060, 2023 | 2 | 2023 |
| Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving G Lee, W Oh, J Oh, S Shin, D Kim, J Jeong, S Choi, S Oh 2022 22nd International Conference on Control, Automation and Systems (ICCAS …, 2022 | 2 | 2022 |
| Safety guided policy optimization D Kim, Y Kim, K Lee, S Oh 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning J Lee, J Heo, D Kim, G Lee, S Oh 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration D Kim, J Heo, S Oh 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| Adversarial Environment Design via Regret-Guided Diffusion Models H Chung, J Lee, M Kim, D Kim, S Oh arXiv preprint arXiv:2410.19715, 2024 | | 2024 |
| Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach D Kim, H Kwon, J Kim, G Lee, S Oh arXiv preprint arXiv:2409.15755, 2024 | | 2024 |
| Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation T Cho, S Han, K Lee, S Ju, D Kim, J Lee arXiv preprint arXiv:2407.21260, 2024 | | 2024 |
| Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees D Kim, T Cho, S Han, H Chung, K Lee, S Oh Advances in neural information processing systems 37, 2024 | | 2024 |
| Decomposed Q-Learning for Non-Prehensile Rearrangement Problem H Kee, D Kim, S Oh 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | | 2021 |
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaBestätigte E-Mail-Adresse bei snu.ac.kr