GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems B Sukhija, M Turchetta, D Lindner, A Krause, S Trimpe, D Baumann Artificial Intelligence 320, 103922, 2023 | 17 | 2023 |
Hallucinated adversarial control for conservative offline policy evaluation J Rothfuss, B Sukhija, T Birchler, P Kassraie, A Krause Uncertainty in Artificial Intelligence, 1774-1784, 2023 | 8 | 2023 |
Tuning legged locomotion controllers via safe bayesian optimization D Widmer, D Kang, B Sukhija, J Hübotter, A Krause, S Coros Conference on Robot Learning, 2444-2464, 2023 | 5 | 2023 |
Optimistic Active Exploration of Dynamical Systems B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause arXiv preprint arXiv:2306.12371, 2023 | 4 | 2023 |
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning A Bhardwaj, J Rothfuss, B Sukhija, Y As, M Hutter, S Coros, A Krause IEEE Robotics and Automation Letters, 2024 | 2 | 2024 |
Gradient-based trajectory optimization with learned dynamics B Sukhija, N Köhler, M Zamora, S Zimmermann, S Curi, A Krause, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1011-1018, 2023 | 2 | 2023 |
Efficient Exploration in Continuous-time Model-based Reinforcement Learning L Treven, J Hübotter, F Dorfler, A Krause Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization Y As, B Sukhija, A Krause arXiv preprint arXiv:2405.05890, 2024 | | 2024 |
Bridging the Sim-to-Real Gap with Bayesian Inference J Rothfuss, B Sukhija, L Treven, F Dörfler, S Coros, A Krause arXiv preprint arXiv:2403.16644, 2024 | | 2024 |
Information-based Transductive Active Learning J Hübotter, B Sukhija, L Treven, Y As, A Krause arXiv preprint arXiv:2402.15898, 2024 | | 2024 |
Active Few-Shot Fine-Tuning J Hübotter, B Sukhija, L Treven, Y As, A Krause arXiv preprint arXiv:2402.15441, 2024 | | 2024 |