Stochastic Variance-Reduced Policy Gradient. - Matteo Papini; Damiano Binaghi; Giuseppe Canonaco; Matteo Pirotta; Marcello Restelli (ICML, 2018)

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning. - Giuseppe Canonaco; Marcello Restelli; Manuel Roveri (ECAI, 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 (I2MTC, 2020)

Time-Variant Variational Transfer for Value Functions. - Giuseppe Canonaco; Andrea Soprani; Manuel Roveri; Marcello Restelli (CoRR, 2020)

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 (I2MTC, 2021)

Adaptive Federated Learning in Presence of Concept Drift. - Giuseppe Canonaco; Alex Bergamasco; Alessio Mongelluzzo; Manuel Roveri (IJCNN, 2021)

Birdsong Detection at the Edge with Deep Learning. - Simone Disabato; Giuseppe Canonaco; Paul G. Flikkema; Manuel Roveri; Cesare Alippi (SMARTCOMP, 2021)

Time-variant variational transfer for value functions. - Giuseppe Canonaco; Andrea Soprani; Matteo Giuliani; Andrea Castelletti; Manuel Roveri; Marcello Restelli (UAI, 2021)

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)

Learning in non-stationary environments: from a specific application to more general algorithms. - Giuseppe Canonaco (2022)

On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning. - Giuseppe Canonaco; Leo Ardon; Alberto Pozanco; Daniel Borrajo (CoRR, 2024)

On Learning Action Costs from Input Plans. - Marianela Morales; Alberto Pozanco; Giuseppe Canonaco; Sriram Gopalakrishnan; Daniel Borrajo; Manuela Veloso (CoRR, 2024)

Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs. - Giuseppe Canonaco; Alberto Pozanco; Daniel Borrajo (CoRR, 2024)

Generative AI Agents for Knowledge Work Augmentation in Finance. - Sumitra Ganesh; Leo Ardon; Daniel Borrajo; Deepeka Garg; Udari Madhushani Sehwag; Annapoorani Lakshmi Narayanan; Giuseppe Canonaco; Manuela M. Veloso (Annu. Rev. Control. Robotics Auton. Syst., 2025)

GenPlanX. Generation of Plans and Execution. - Daniel Borrajo; Giuseppe Canonaco; Tomás de la Rosa; Alfredo Garrachón Ruiz; Sriram Gopalakrishnan; Simerjot Kaur; Marianela Morales; Sunandita Patra; Alberto Pozanco; Keshav Ramani; Charese Smiley; Pietro Totis; et al. (CoRR, 2025)