Federico Bianchi
Orcid: 0000-0001-7773-3032Affiliations:
- University of Verona, Verona, Italy
According to our database1,
Federico Bianchi authored at least 14 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
PhD thesis, 2025
Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies.
J. Artif. Intell. Res., 2025
Enhancing safety and explainability of reinforcement learning agents for environmental monitoring tasks.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025
2024
Developing safe and explainable autonomous agents: from simulation to the real world.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 11th Italian Workshop on Artificial Intelligence and Robotics co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024
2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks.
Appl. Intell., 2022
Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper).
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022
2021
IEEE Intell. Syst., 2021
2020
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
2019
Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019