Agents that learn modular models of what their actions do.

@article{briglia2026neural,
  title={Neural {B}ayesian Networks for Modular and Scalable Decision-Making Under Uncertainty},
  author={Briglia, Giovanni and Lippi, Marco and Mariani, Stefano and Zambonelli, Franco},
  journal={arXiv preprint arXiv:2610.16902},
  year={2026}
}

@inproceedings{briglia2026nbn,
  title={Neural Bayesian Networks as Continual World Models for Reinforcement Learning},
  author={Briglia, Giovanni and Lippi, Marco and Mariani, Stefano and Zambonelli, Franco},
  booktitle={NeurIPS 2026 Workshop on Continual World Models},
  year={2026}
}

@inproceedings{brigliascaling,
  title={Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics},
  author={Briglia, Giovanni and Fabiano, Francesco and Mariani, Stefano},
  booktitle={The 25th International Conference on Autonomous Agents and Multi-Agent Systems},
  year={2026}
}

@inproceedings{briglia2026causal,
  title={Causal Learning and Reasoning in Multi-Agent Reinforcement Learning},
  author={Briglia, Giovanni},
  booktitle={Proc. of the 25th International Conference on Autonomous Agents and Multiagent Systems},
  pages={3975--3977},
  year={2026}
}

@inproceedings{briglia2026pervasive,
  title={Causal Models Improve Reinforcement Learning for Pervasive and Robotic Tasks},
  author={Briglia, Giovanni and Mariani, Stefano and Zambonelli, Franco},
  booktitle={2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
  year={2026},
  organization={IEEE Computer Society}
}

@inproceedings{mariani2026taxonomy,
  author={Mariani, Stefano and Briglia, Giovanni and Meyer-Vitali, Andr{\'e} and Klusch, Matthias and Zambonelli, Franco},
  title={Causal Learning and Reasoning in Multi-Agent Systems: Goals, Issues, and Taxonomy},
  booktitle={Proceedings of the 1st International Workshop on Causal Learning and Reasoning in Agents and Multiagent Systems, CLaRAMAS},
  publisher={Springer},
  year={2026}
}

@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}
}

@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}
}

@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}
}

@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},
  pages={12760-12770},
  doi={10.1109/ACCESS.2023.3348245}
}

@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},
  pages={400-406},
  doi={10.1109/ICSRS59833.2023.10381353}
}