| 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 | 39 | 2023 |
| Optimistic Active Exploration of Dynamical Systems B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| 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 | 24 | 2023 |
| Transductive Active Learning: Theory and Applications J Hübotter, B Sukhija, L Treven, Y As, A Krause NeurIPS, 2024, 2024 | 22* | 2024 |
| MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization B Sukhija, S Coros, A Krause, P Abbeel, C Sferrazza ICLR, 2025, 2025 | 15 | 2025 |
| Efficient exploration in continuous-time model-based reinforcement learning L Treven, J Hübotter, B Sukhija, F Dorfler, A Krause Advances in Neural Information Processing Systems 36, 42119-42147, 2023 | 15 | 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 | 14 | 2023 |
| Gradient-based trajectory optimization with learned dynamics B Sukhija, N Köhler, M Zamora, S Zimmermann, S Curi, A Krause, ... arXiv preprint arXiv:2204.04558, 2022 | 10 | 2022 |
| Bridging the Sim-to-Real Gap with Bayesian Inference J Rothfuss*, B Sukhija*, L Treven*, F Dörfler, S Coros, A Krause International Conference on Intelligent Robots and Systems (IROS), 2024 | 8 | 2024 |
| ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Y As*, B Sukhija*, L Treven, C Sferrazza, S Coros, A Krause ICLR, 2025, 2025 | 6 | 2025 |
| 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 9 (4), 3918-3925, 2024 | 6 | 2024 |
| MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation F Zargarbashi, F Di Giuro, J Cheng, D Kang, B Sukhija, S Coros arXiv preprint arXiv:2407.17502, 2024 | 5* | 2024 |
| Optimism via intrinsic rewards: Scalable and principled exploration for model-based reinforcement learning B Sukhija, L Treven, C Sferrazza, F Dorfler, P Abbeel, A Krause 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities, 2025 | 4 | 2025 |
| NEORL: Efficient Exploration for Nonepisodic RL B Sukhija, L Treven, F Dörfler, S Coros, A Krause NeurIPS, 2024, 2024 | 3* | 2024 |
| When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL L Treven, B Sukhija, Y As, F Dörfler, A Krause NeurIPS, 2024, 2024 | 3 | 2024 |
| A Practical Approach for Safe Exploration Y As, B Sukhija, A Krause Deployable RL: From Research to Practice@ Reinforcement Learning Conference 2024, 0 | 2* | |
| Simulation Priors for Data-Efficient Deep Learning L Treven, B Sukhija, J Rothfuss, S Coros, F Dörfler, A Krause arXiv preprint arXiv:2509.05732, 2025 | | 2025 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
