Enrico Marchesini

45 papers A* 7A 11Misc 1Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Verifying Online Safety Properties for Safe Deep Reinforcement Learning. ACM Trans. Intell. Syst. Technol. Luca Marzari, Ferdinando Cicalese, Alessandro Farinelli, Christopher Amato, Enrico Marchesini
2025	A	`conf`	An Approximate Embedding for Designing Ethical Reinforcement Learning Environments. ECAI Arnau Mayoral-Macau, Manel Rodriguez-Soto, Enrico Marchesini, Martí Sánchez-Fibla, Maite López-Sánchez, Juan Antonio Rodríguez-Aguilar, Alessandro Farinelli
2025	J	`jnl`	Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation. CoRR Luca Marzari, Francesco Trotti, Enrico Marchesini, Alessandro Farinelli
2025	J	`jnl`	Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation. IEEE Robotics Autom. Lett. Luca Marzari, Francesco Trotti, Enrico Marchesini, Alessandro Farinelli
2025	—	`conf`	Explaining reinforcement learning policies for power grid operations. Ital-IA Luca Marzari, Francesco Leofante, Enrico Marchesini
2025	A	`conf`	Improving Policy Optimization via ε-Retrain. AAMAS Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini
2025	A	`conf`	On Stateful Value Factorization in Multi-Agent Reinforcement Learning. AAMAS Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato
2025	J	`jnl`	RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. CoRR Enrico Marchesini, Benjamin Donnot, Constance Crozier, Ian Dytham, Christian Merz, Lars Schewe, Nico Westerbeck, Cathy Wu, Antoine Marot, Priya L. Donti
2025	A	`conf`	Safe Entropic Agents under Team Constraints. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2024	A	`conf`	Entropy Seeking Constrained Multiagent Reinforcement Learning. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer
2024	A*	`conf`	Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. AAAI Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese
2024	J	`jnl`	Improving Policy Optimization via ε-Retrain. CoRR Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini
2024	J	`jnl`	On Stateful Value Factorization in Multi-Agent Reinforcement Learning. CoRR Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato
2024	J	`jnl`	Safe Multiagent Coordination via Entropic Exploration. CoRR Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2023	—	`conf`	Entropy Maximization in High Dimensional Multiagent State Spaces. MRS Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer
2023	J	`jnl`	Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. CoRR Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese
2023	A*	`conf`	Improving Deep Policy Gradients with Value Function Search. ICLR Enrico Marchesini, Christopher Amato
2023	J	`jnl`	Improving Deep Policy Gradients with Value Function Search. CoRR Enrico Marchesini, Christopher Amato
2023	A*	`conf`	Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. ICRA Luca Marzari, Enrico Marchesini, Alessandro Farinelli
2023	J	`jnl`	Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. CoRR Luca Marzari, Enrico Marchesini, Alessandro Farinelli
2023	A	`conf`	Safe Deep Reinforcement Learning by Verifying Task-Level Properties. AAMAS Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato
2023	J	`jnl`	Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato
2022	Misc	`conf`	Curriculum learning for safe mapless navigation. SAC Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli
2022	A*	`conf`	Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search. ICRA Enrico Marchesini, Alessandro Farinelli
2022	A*	`conf`	Exploring Safer Behaviors for Deep Reinforcement Learning. AAAI Enrico Marchesini, Davide Corsi, Alessandro Farinelli
2022	J	`jnl`	Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. Frontiers Robotics AI Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
2022	—	`conf`	Safety-informed mutations for evolutionary deep reinforcement learning. GECCO Companion Enrico Marchesini, Christopher Amato
2021	A	`conf`	Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. IROS Enrico Marchesini, Davide Corsi, Alessandro Farinelli
2021	J	`jnl`	Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. CoRR Enrico Marchesini, Davide Corsi, Alessandro Farinelli
2021	A	`conf`	Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. IROS Enrico Marchesini, Alessandro Farinelli
2021	J	`jnl`	Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. CoRR Enrico Marchesini, Alessandro Farinelli
2021	J	`jnl`	Curriculum Learning for Safe Mapless Navigation. CoRR Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli
2021	A	`conf`	Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. UAI Davide Corsi, Enrico Marchesini, Alessandro Farinelli
2021	A*	`conf`	Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. ICLR Enrico Marchesini, Davide Corsi, Alessandro Farinelli
2021	—	`conf`	Learning Environment Properties in Partially Observable Monte Carlo Planning. AIRO@AI*IA Maddalena Zuccotto, Alberto Castellini, Marco Piccinelli, Enrico Marchesini, Alessandro Farinelli
2021	J	`jnl`	Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. Eng. Appl. Artif. Intell. Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
2021	A	`conf`	Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. IROS Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini
2021	J	`jnl`	Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. CoRR Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini
2020	A*	`conf`	Discrete Deep Reinforcement Learning for Mapless Navigation. ICRA Enrico Marchesini, Alessandro Farinelli
2020	J	`jnl`	Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification. CoRR Davide Corsi, Enrico Marchesini, Alessandro Farinelli
2020	—	`conf`	Explaining the Influence of Prior Knowledge on POMCP Policies. EUMAS/AT Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli
2020	—	`conf`	Formal Verification for Safe Deep Reinforcement Learning in Trajectory Generation. IRC Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Paolo Fiorini
2020	A	`conf`	Genetic Deep Reinforcement Learning for Mapless Navigation. AAMAS Enrico Marchesini, Alessandro Farinelli
2019	—	`conf`	Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator. IRC Enrico Marchesini, Davide Corsi, Andrea Benfatti, Alessandro Farinelli, Paolo Fiorini
2019	—	`conf`	Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. AIRO@AI*IA Alberto Castellini, Enrico Marchesini, Alessandro Farinelli