Stochastic variance-reduced policy gradient M Papini, D Binaghi, G Canonaco, M Pirotta, M Restelli International conference on machine learning, 4026-4035, 2018 | 192 | 2018 |
Adaptive federated learning in presence of concept drift G Canonaco, A Bergamasco, A Mongelluzzo, M Roveri 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 23 | 2021 |
Birdsong detection at the edge with deep learning S Disabato, G Canonaco, PG Flikkema, M Roveri, C Alippi 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 9-16, 2021 | 18 | 2021 |
Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning G Canonaco, M Restelli, M Roveri European Conference on Artificial Intelligence, 2020 | 11 | 2020 |
A transfer-learning approach for corrosion prediction in pipeline infrastructures G Canonaco, M Roveri, C Alippi, F Podenzani, A Bennardo, M Conti, ... Applied Intelligence, 1-16, 2022 | 8 | 2022 |
Corrosion prediction in oil and gas pipelines: a machine learning approach G Canonaco, M Roveri, C Alippi, F Podenzani, A Bennardo, M Conti, ... 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 5 | 2020 |
A machine-learning approach for the prediction of internal corrosion in pipeline infrastructures G Canonaco, M Roveri, C Alippi, F Podenzani, A Bennardo, M Conti, ... 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 4 | 2021 |
Time-variant variational transfer for value functions G Canonaco, A Soprani, M Giuliani, A Castelletti, M Roveri, M Restelli Uncertainty in Artificial Intelligence, 876-886, 2021 | 1 | 2021 |
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning G Canonaco, L Ardon, A Pozanco, D Borrajo arXiv preprint arXiv:2404.07826, 2024 | | 2024 |
Learning in non-stationary environments: from a specific application to more general algorithms G Canonaco | | 2021 |
Stochastic variance reduced policy gradient G CANONACO, D BINAGHI Politecnico di Milano, 2017 | | 2017 |