| On the importance of hyperparameter optimization for model-based reinforcement learning B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ... International Conference on Artificial Intelligence and Statistics, 4015-4023, 2021 | 136 | 2021 |
| Automated reinforcement learning (autorl): A survey and open problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022 | 105 | 2022 |
| Constrained Reinforcement Learning with Smoothed Log Barrier Function B Zhang, Y Zhang, L Frison, T Brox, J Bödecker arXiv preprint arXiv:2403.14508, 2024 | 7 | 2024 |
| Learning continuous control with geometric regularity from robot intrinsic symmetry S Yan, B Zhang, Y Zhang, J Boedecker, W Burgard 2024 IEEE International Conference on Robotics and Automation (ICRA), 49-55, 2024 | 5* | 2024 |
| Constrained Reinforcement Learning for Safe Heat Pump Control B Zhang, L Frison, T Brox, J Bödecker arXiv preprint arXiv:2409.19716, 2024 | | 2024 |
| Revisiting Safe Exploration in Safe Reinforcement learning D Eckel, B Zhang, J Bödecker arXiv preprint arXiv:2409.01245, 2024 | | 2024 |
| Goal Achievement Guided Exploration: Mitigating Premature Convergence in Learning Robot Control S Yan, B Zhang, J Boedecker, W Burgard CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation …, 0 | | |
| Automated Reinforcement Learning (AutoRL): A Survey and Open Problems R Rajan, J Parker-Holder, X Song, A Biedenkapp, Y Miao, T Eimer, ... AutoML Conference 2023 (Journal Track), 0 | | |
