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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
8712017
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
4242018
Safe exploration in finite markov decision processes with gaussian processes
M Turchetta, F Berkenkamp, A Krause
Advances in neural information processing systems 29, 2016
1902016
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
1602018
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
752020
Safe exploration for interactive machine learning
M Turchetta, F Berkenkamp, A Krause
Advances in Neural Information Processing Systems 32, 2019
752019
Mixed-variable Bayesian optimization
E Daxberger, A Makarova, M Turchetta, A Krause
arXiv preprint arXiv:1907.01329, 2019
382019
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
352020
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
262021
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
122021
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
112021
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
52022
Scalable safe exploration for global optimization of dynamical systems
B Sukhija, M Turchetta, D Lindner, A Krause, S Trimpe, D Baumann
arXiv preprint arXiv:2201.09562, 2022
52022
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
42022
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
32023
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
22018
Safety and Robustness in Reinforcement Learning
M Turchetta
ETH Zurich, 2021
12021
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
ChromaX: a fast and scalable breeding program simulator
OG Younis, M Turchetta, D Ariza Suarez, S Yates, B Studer, ...
bioRxiv, 2023.05. 29.542709, 2023
2023
Mixed-Variable Bayesian Optimization
AK Krause, EAD Daxberger, EA Daxberger, MT Turchetta, M Turchetta, ...
2019
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