Matteo Turchetta

Orcid: 0000-0001-5881-3096

According to our database¹, Matteo Turchetta authored at least 22 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Breeding Programs Optimization with Reinforcement Learning.

[BibT_eX]

[DOI]

Omar G. Younis

Luca Corinzia

Ioannis N. Athanasiadis

Andreas Krause

Joachim M. Buhmann

Matteo Turchetta

CoRR, 2024

Safe Guaranteed Exploration for Non-linear Systems.

[BibT_eX]

[DOI]

CoRR, 2024

2023

ChromaX: a fast and scalable breeding program simulator.

[BibT_eX]

[DOI]

Ioannis N. Athanasiadis

Andreas Krause

Joachim M. Buhmann

Luca Corinzia

Bioinform., December, 2023

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.

[BibT_eX]

[DOI]

Artif. Intell., July, 2023

2022

Scalable Safe Exploration for Global Optimization of Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Long-Term Crop Management Strategies with CyclesGym.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal Multi-Agent Learning for Safe Coverage Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Safety and Robustness in Reinforcement Learning.

[BibT_eX]

[DOI]

Matteo Turchetta

PhD thesis, 2021

Information Directed Reward Learning for Reinforcement Learning.

[BibT_eX]

[DOI]

David Lindner

Matteo Turchetta

Sebastian Tschiatschek

Kamil Ciosek

Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GoSafe: Globally Optimal Safe Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Safe Reinforcement Learning via Curriculum Induction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed-Variable Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization.

[BibT_eX]

[DOI]

Matteo Turchetta

Andreas Krause

Sebastian Trimpe

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Safe Exploration for Interactive Machine Learning.

[BibT_eX]

[DOI]

Matteo Turchetta

Felix Berkenkamp

Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2018

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning-Based Model Predictive Control for Safe Exploration.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Safe Model-based Reinforcement Learning with Stability Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes.

[BibT_eX]

[DOI]

Matteo Turchetta

Felix Berkenkamp

Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Matteo Turchetta

Timeline

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