| 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 | 114 | 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 | 85 | 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 | 3 | 2024 |
| Geometric regularity with robot intrinsic symmetry in reinforcement learning S Yan, Y Zhang, B Zhang, J Boedecker, W Burgard arXiv preprint arXiv:2306.16316, 2023 | 3 | 2023 |
| reinforcement learning, autonomous agents, neural networks J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 74, 517-568, 2022 | 1 | 2022 |
| 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 | | 2024 |
| 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 | | |
