Publications

2025

1. 

   A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference

   Giovanni Briglia, Stefano Mariani, and Franco Zambonelli

   arXiv preprint arXiv:2503.17803, 2025

   Bib

   @article{briglia2025roadmap,
     title = {A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference},
     author = {Briglia, Giovanni and Mariani, Stefano and Zambonelli, Franco},
     journal = {arXiv preprint arXiv:2503.17803},
     year = {2025},
   }

2. 

   Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics

   Giovanni Briglia, Francesco Fabiano, and Stefano Mariani

   arXiv preprint arXiv:2508.12840, 2025

   Bib

   @article{briglia2025scaling,
     title = {Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics},
     author = {Briglia, Giovanni and Fabiano, Francesco and Mariani, Stefano},
     journal = {arXiv preprint arXiv:2508.12840},
     year = {2025},
   }

3. 

   Towards Safe Action Policies in Multi-robot Systems with Causal Reinforcement Learning

   Giovanni Briglia, Stefano Mariani, and Franco Zambonelli

   In Workshop on Agents and Robots for reliable Engineered Autonomy, 2025

   Bib

   @inproceedings{briglia2025towards,
     title = {Towards Safe Action Policies in Multi-robot Systems with Causal Reinforcement Learning},
     author = {Briglia, Giovanni and Mariani, Stefano and Zambonelli, Franco},
     booktitle = {Workshop on Agents and Robots for reliable Engineered Autonomy},
     pages = {51--71},
     year = {2025},
     organization = {Springer},
   }

2024

1. 

   Bearing Fault Detection and Recognition From Supply Currents With Decision Trees

   Giovanni Briglia, Fabio Immovilli, Marco Cocconcelli, and Marco Lippi

   IEEE Access, 2024

   Bib

   @article{10376052,
     author = {Briglia, Giovanni and Immovilli, Fabio and Cocconcelli, Marco and Lippi, Marco},
     journal = {IEEE Access},
     title = {Bearing Fault Detection and Recognition From Supply Currents With Decision Trees},
     year = {2024},
     volume = {12},
     number = {},
     pages = {12760-12770},
     keywords = {Fault detection;Feature extraction;Decision trees;Machine learning;Monitoring;Induction motors;Notch filters;Fault detection;fault recognition;decision trees;explainable artificial intelligence},
     doi = {10.1109/ACCESS.2023.3348245},
   }

2. 

   Improving Reinforcement Learning-Based Autonomous Agents with Causal Models

   Giovanni Briglia, Marco Lippi, Stefano Mariani, and Franco Zambonelli

   In International Conference on Principles and Practice of Multi-Agent Systems, 2024

   Bib

   @inproceedings{briglia2024improving,
     title = {Improving Reinforcement Learning-Based Autonomous Agents with Causal Models},
     author = {Briglia, Giovanni and Lippi, Marco and Mariani, Stefano and Zambonelli, Franco},
     booktitle = {International Conference on Principles and Practice of Multi-Agent Systems},
     pages = {267--283},
     year = {2024},
     organization = {Springer},
   }

2023

1. 

   Cross-Load Generalization of Bearing Fault Recognition with Decision Trees

   Giovanni Briglia, Fabio Immovilli, Marco Cocconcelli, and Marco Lippi

   In 2023 7th International Conference on System Reliability and Safety (ICSRS), 2023

   Bib

   @inproceedings{10381353,
     author = {Briglia, Giovanni and Immovilli, Fabio and Cocconcelli, Marco and Lippi, Marco},
     booktitle = {2023 7th International Conference on System Reliability and Safety (ICSRS)},
     title = {Cross-Load Generalization of Bearing Fault Recognition with Decision Trees},
     year = {2023},
     volume = {},
     number = {},
     pages = {400-406},
     keywords = {Condition monitoring;Training;Fault detection;Feature extraction;Safety;Decision trees;Reliability;Bearing fault detection;decision trees;cross-load generalization;condition monitoring;explainability},
     doi = {10.1109/ICSRS59833.2023.10381353},
   }