Giuseppe Canonaco

According to our database, Giuseppe Canonaco authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On Learning Action Costs from Input Plans.

Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso

CoRR, 2024

On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning.

Giuseppe Canonaco, Leo Ardon, Alberto Pozanco, Daniel Borrajo

CoRR, 2024

2022

Learning in non-stationary environments: from a specific application to more general algorithms.

Giuseppe Canonaco

PhD thesis, 2022

A transfer-learning approach for corrosion prediction in pipeline infrastructures.

Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini

Appl. Intell., 2022

2021

Time-variant variational transfer for value functions.

Giuseppe Canonaco, Andrea Soprani, Matteo Giuliani, Andrea Castelletti, Manuel Roveri, Marcello Restelli

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Birdsong Detection at the Edge with Deep Learning.

Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, Manuel Roveri, Cesare Alippi

Proceedings of the IEEE International Conference on Smart Computing, 2021

Adaptive Federated Learning in Presence of Concept Drift.

Giuseppe Canonaco, Alex Bergamasco, Alessio Mongelluzzo, Manuel Roveri

Proceedings of the International Joint Conference on Neural Networks, 2021

A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures.

Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020

Time-Variant Variational Transfer for Value Functions.

Giuseppe Canonaco, Andrea Soprani, Manuel Roveri, Marcello Restelli

CoRR, 2020

Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach.

Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning.

Giuseppe Canonaco, Marcello Restelli, Manuel Roveri

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

Stochastic Variance-Reduced Policy Gradient.

Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta, Marcello Restelli

Proceedings of the 35th International Conference on Machine Learning, 2018