Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. - Federico Bianchi 002; Alberto Castellini; Pietro Tarocco; Alessandro Farinelli (LOD, 2019)

XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. - Federico Bianchi 002; Francesco Masillo; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. - Federico Bianchi 002; Pietro Tarocco; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Predictive Model Generation for Load Forecasting in District Heating Networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (IEEE Intell. Syst., 2021)

Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper). - Federico Bianchi 002; Lorenzo Bonanni; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2022)

Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (Appl. Intell., 2022)

Scalable Safe Policy Improvement via Monte Carlo Tree Search. - Alberto Castellini; Federico Bianchi 002; Edoardo Zorzi; Thiago D. Simão; Alessandro Farinelli; Matthijs T. J. Spaan (ICML, 2023)

Safe and Efficient Reinforcement Learning for Environmental Monitoring. - Federico Bianchi 002; Davide Corsi; Luca Marzari; Daniele Meli; Francesco Trotti; Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (Ital-IA, 2023)

Scalable Safe Policy Improvement for Single and Multi-Agent Systems (short paper). - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. - Federico Bianchi 002; Edoardo Zorzi; Alberto Castellini; Thiago D. Simão; Matthijs T. J. Spaan; Alessandro Farinelli (ICML, 2024)

Developing safe and explainable autonomous agents: from simulation to the real world. - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli; Luca Marzari; Daniele Meli; Francesco Trotti; Celeste Veronese (Ital-IA, 2024)