Matteo Turchetta

Orcid: 0000-0001-5881-3096

According to our database1, Matteo Turchetta authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Safe Guaranteed Exploration for Non-linear Systems.
CoRR, 2024

2023
ChromaX: a fast and scalable breeding program simulator.
Bioinform., December, 2023

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.
Artif. Intell., July, 2023

2022
Scalable Safe Exploration for Global Optimization of Dynamical Systems.
CoRR, 2022

Learning Long-Term Crop Management Strategies with CyclesGym.
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.
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.
PhD thesis, 2021

Information Directed Reward Learning for Reinforcement Learning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GoSafe: Globally Optimal Safe Robot Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Safe Reinforcement Learning via Curriculum Induction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed-Variable Bayesian Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.
CoRR, 2019

Safe Exploration for Interactive Machine Learning.
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.
IEEE Robotics Autom. Lett., 2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations.
CoRR, 2018

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.
CoRR, 2018

Learning-Based Model Predictive Control for Safe Exploration.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Safe Model-based Reinforcement Learning with Stability Guarantees.
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.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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