| Safe model-based reinforcement learning with stability guarantees F Berkenkamp, M Turchetta, AP Schoellig, A Krause arXiv preprint arXiv:1705.08551, 2017 | 378 | 2017 |
| Learning-based model predictive control for safe exploration T Koller, F Berkenkamp, M Turchetta, A Krause 2018 IEEE Conference on Decision and Control (CDC), 6059-6066, 2018 | 175 | 2018 |
| Safe exploration in finite markov decision processes with gaussian processes M Turchetta, F Berkenkamp, A Krause arXiv preprint arXiv:1606.04753, 2016 | 103 | 2016 |
| Reinforced imitation: Sample efficient deep reinforcement learning for mapless navigation by leveraging prior demonstrations M Pfeiffer, S Shukla, M Turchetta, C Cadena, A Krause, R Siegwart, ... IEEE Robotics and Automation Letters 3 (4), 4423-4430, 2018 | 72 | 2018 |
| Safe exploration for interactive machine learning M Turchetta, F Berkenkamp, A Krause arXiv preprint arXiv:1910.13726, 2019 | 21 | 2019 |
| Mixed-variable bayesian optimization E Daxberger, A Makarova, M Turchetta, A Krause arXiv preprint arXiv:1907.01329, 2019 | 10 | 2019 |
| Robust model-free reinforcement learning with multi-objective Bayesian optimization M Turchetta, A Krause, S Trimpe 2020 IEEE International Conference on Robotics and Automation (ICRA), 10702 …, 2020 | 8 | 2020 |
| Safe reinforcement learning via curriculum induction M Turchetta, A Kolobov, S Shah, A Krause, A Agarwal arXiv preprint arXiv:2006.12136, 2020 | 6 | 2020 |
| Safe and efficient model-free adaptive control via bayesian optimization C König, M Turchetta, J Lygeros, A Rupenyan, A Krause arXiv preprint arXiv:2101.07825, 2021 | 2 | 2021 |
| Calibration of agent based transport simulations with multi-fidelity Bayesian optimization M Turchetta, A Makarova, S Beyeler, A Krause 18th Swiss Transport Research Conference (STRC 2018), 2018 | 2 | 2018 |
| Learning-based Model Predictive Control for Safe Reinforcement Learning T Koller, F Berkenkamp, M Turchetta, J Bödecker, A Krause | 1 | 2019 |
| GoSafe: Globally Optimal Safe Robot Learning D Baumann, A Marco, M Turchetta, S Trimpe arXiv preprint arXiv:2105.13281, 2021 | | 2021 |
| Information Directed Reward Learning for Reinforcement Learning D Lindner, M Turchetta, S Tschiatschek, K Ciosek, A Krause arXiv preprint arXiv:2102.12466, 2021 | | 2021 |
| Safe Exploration for Interactive Machine Learning M Turchetta, F Berkenkamp, A Krause Advances in Neural Information Processing Systems 32 4, 2868-2878, 2020 | | 2020 |
| Safe model-based reinforcement learning with stability guarantees F Berkenkamp, M Turchetta, AP Schoellig, A Krause Advances in Neural Information Processing Systems 30 2, 909-919, 2018 | | 2018 |
| Safe exploration in finite markov decision processes with Gaussian processes A Krause, M Turchetta, F Berkenkamp Advances in Neural Information Processing Systems 29, 4312-4320, 2017 | | 2017 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
