Matteo Turchetta

33 papers A* 9Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Safe Guaranteed Exploration for Nonlinear Systems. IEEE Trans. Autom. Control. Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2024	J	`jnl`	Breeding Programs Optimization with Reinforcement Learning. CoRR Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta
2024	J	`jnl`	Safe Guaranteed Exploration for Non-linear Systems. CoRR Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2023	J	`jnl`	ChromaX: a fast and scalable breeding program simulator. Bioinform. Omar G. Younis, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia
2023	J	`jnl`	GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
2022	A*	`conf`	Learning Long-Term Crop Management Strategies with CyclesGym. NeurIPS Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis N. Athanasiadis, Joachim M. Buhmann, Andreas Krause
2022	A*	`conf`	Near-Optimal Multi-Agent Learning for Safe Coverage Control. NeurIPS Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2022	J	`jnl`	Near-Optimal Multi-Agent Learning for Safe Coverage Control. CoRR Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2022	J	`jnl`	Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
2021	A*	`conf`	GoSafe: Globally Optimal Safe Robot Learning. ICRA Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
2021	J	`jnl`	GoSafe: Globally Optimal Safe Robot Learning. CoRR Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
2021	A*	`conf`	Information Directed Reward Learning for Reinforcement Learning. NeurIPS David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
2021	J	`jnl`	Information Directed Reward Learning for Reinforcement Learning. CoRR David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
2021	A*	`conf`	Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. ICRA Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
2021	J	`jnl`	Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. CoRR Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
2021	—	`—`	Safety and Robustness in Reinforcement Learning. Matteo Turchetta
2020	A*	`conf`	Mixed-Variable Bayesian Optimization. IJCAI Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
2020	A*	`conf`	Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. ICRA Matteo Turchetta, Andreas Krause, Sebastian Trimpe
2020	A*	`conf`	Safe Reinforcement Learning via Curriculum Induction. NeurIPS Matteo Turchetta, Andrey Kolobov, Shital Shah, Andreas Krause, Alekh Agarwal
2020	J	`jnl`	Safe Reinforcement Learning via Curriculum Induction. CoRR Matteo Turchetta, Andrey Kolobov, Shital Shah, Andreas Krause, Alekh Agarwal
2019	J	`jnl`	Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause
2019	J	`jnl`	Mixed-Variable Bayesian Optimization. CoRR Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
2019	J	`jnl`	Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. CoRR Matteo Turchetta, Andreas Krause, Sebastian Trimpe
2019	A*	`conf`	Safe Exploration for Interactive Machine Learning. NeurIPS Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2019	J	`jnl`	Safe Exploration for Interactive Machine Learning. CoRR Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2018	—	`conf`	Learning-Based Model Predictive Control for Safe Exploration. CDC Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
2018	J	`jnl`	Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
2018	J	`jnl`	Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations. CoRR Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto
2018	J	`jnl`	Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations. IEEE Robotics Autom. Lett. Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto
2017	—	`conf`	Safe Model-based Reinforcement Learning with Stability Guarantees. NIPS Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
2017	J	`jnl`	Safe Model-based Reinforcement Learning with Stability Guarantees. CoRR Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
2016	—	`conf`	Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. NIPS Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2016	J	`jnl`	Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. CoRR Matteo Turchetta, Felix Berkenkamp, Andreas Krause