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Matteo Turchetta
Matteo Turchetta
PhD at ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Safe model-based reinforcement learning with stability guarantees
F Berkenkamp, M Turchetta, A Schoellig, A Krause
Advances in neural information processing systems 30, 2017
9792017
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
4612018
Safe exploration in finite markov decision processes with gaussian processes
M Turchetta, F Berkenkamp, A Krause
Advances in neural information processing systems 29, 2016
2232016
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
1842018
Safe exploration for interactive machine learning
M Turchetta, F Berkenkamp, A Krause
Advances in Neural Information Processing Systems 32, 2019
992019
Safe reinforcement learning via curriculum induction
M Turchetta, A Kolobov, S Shah, A Krause, A Agarwal
Advances in Neural Information Processing Systems 33, 12151-12162, 2020
922020
Mixed-variable Bayesian optimization
E Daxberger, A Makarova, M Turchetta, A Krause
arXiv preprint arXiv:1907.01329, 2019
492019
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
412020
Safe and efficient model-free adaptive control via Bayesian optimization
C König, M Turchetta, J Lygeros, A Rupenyan, A Krause
2021 IEEE International Conference on Robotics and Automation (ICRA), 9782-9788, 2021
392021
Gosafe: Globally optimal safe robot learning
D Baumann, A Marco, M Turchetta, S Trimpe
2021 IEEE International Conference on Robotics and Automation (ICRA), 4452-4458, 2021
272021
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
182023
Information directed reward learning for reinforcement learning
D Lindner, M Turchetta, S Tschiatschek, K Ciosek, A Krause
Advances in Neural Information Processing Systems 34, 3850-3862, 2021
152021
Near-optimal multi-agent learning for safe coverage control
M Prajapat, M Turchetta, M Zeilinger, A Krause
Advances in Neural Information Processing Systems 35, 14998-15012, 2022
122022
Learning long-term crop management strategies with cyclesgym
M Turchetta, L Corinzia, S Sussex, A Burton, J Herrera, I Athanasiadis, ...
Advances in neural information processing systems 35, 11396-11409, 2022
102022
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
32018
ChromaX: a fast and scalable breeding program simulator
OG Younis, M Turchetta, D Ariza Suarez, S Yates, B Studer, ...
Bioinformatics 39 (12), btad691, 2023
22023
Safety and Robustness in Reinforcement Learning
M Turchetta
ETH Zurich, 2021
22021
Safe Guaranteed Exploration for Non-linear Systems
M Prajapat, J Köhler, M Turchetta, A Krause, MN Zeilinger
arXiv preprint arXiv:2402.06562, 2024
12024
Learning-based model predictive control for safe reinforcement learning
T Koller, F Berkenkamp, M Turchetta, J Bödecker, A Krause
Robust autonomy: tools for safety in real-world uncertain environments, 2019
12019
Breeding Programs Optimization with Reinforcement Learning
OG Younis, L Corinzia, IN Athanasiadis, A Krause, JM Buhmann, ...
arXiv preprint arXiv:2406.03932, 2024
2024
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