| 2025 | ECAI | An Approximate Embedding for Designing Ethical Reinforcement Learning Environments. | Arnau Mayoral-Macau, Manel Rodriguez-Soto, Enrico Marchesini, Mart Snchez-Fibla, Maite Lpez-Snchez, Juan Antonio Rodrguez-Aguilar, Alessandro Farinelli |
| 2024 | AAAI | Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. | Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese |
| 2023 | ICLR | Improving Deep Policy Gradients with Value Function Search. | Enrico Marchesini, Christopher Amato |
| 2023 | ICRA | Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. | Luca Marzari, Enrico Marchesini, Alessandro Farinelli |
| 2022 | AAAI | Exploring Safer Behaviors for Deep Reinforcement Learning. | Enrico Marchesini, Davide Corsi, Alessandro Farinelli |
| 2022 | GECCO | Safety-informed mutations for evolutionary deep reinforcement learning. | Enrico Marchesini, Christopher Amato |
| 2022 | ICRA | Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search. | Enrico Marchesini, Alessandro Farinelli |
| 2022 | SAC | Curriculum learning for safe mapless navigation. | Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli |
| 2021 | ICLR | Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. | Enrico Marchesini, Davide Corsi, Alessandro Farinelli |
| 2021 | IROS | Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. | Enrico Marchesini, Davide Corsi, Alessandro Farinelli |
| 2021 | IROS | Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. | Enrico Marchesini, Alessandro Farinelli |
| 2021 | IROS | Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. | Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini |
| 2021 | UAI | Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. | Davide Corsi, Enrico Marchesini, Alessandro Farinelli |
| 2020 | EUMAS | Explaining the Influence of Prior Knowledge on POMCP Policies. | Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli |
| 2020 | ICRA | Discrete Deep Reinforcement Learning for Mapless Navigation. | Enrico Marchesini, Alessandro Farinelli |