Enrico Marchesini

According to our database, Enrico Marchesini authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation.

Luca Marzari, Francesco Trotti, Enrico Marchesini, Alessandro Farinelli

IEEE Robotics Autom. Lett., October, 2025

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations.

Enrico Marchesini, Benjamin Donnot, Constance Crozier, Ian Dytham, Christian Merz, Lars Schewe, Nico Westerbeck, Cathy Wu, Antoine Marot, Priya L. Donti

CoRR, March, 2025

Improving Policy Optimization via ε-Retrain.

Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

On Stateful Value Factorization in Multi-Agent Reinforcement Learning.

Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Safe Entropic Agents under Team Constraints.

Ayhan Alp Aydeniz, Enrico Marchesini, Robert Loftin, Christopher Amato, Kagan Tumer

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Safe Multiagent Coordination via Entropic Exploration.

Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer

CoRR, 2024

On Stateful Value Factorization in Multi-Agent Reinforcement Learning.

Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato

CoRR, 2024

Entropy Seeking Constrained Multiagent Reinforcement Learning.

Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees.

Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Entropy Maximization in High Dimensional Multiagent State Spaces.

Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation.

Luca Marzari, Enrico Marchesini, Alessandro Farinelli

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Improving Deep Policy Gradients with Value Function Search.

Enrico Marchesini, Christopher Amato

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safe Deep Reinforcement Learning by Verifying Task-Level Properties.

Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots.

Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli

Frontiers Robotics AI, 2022

Curriculum learning for safe mapless navigation.

Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search.

Enrico Marchesini, Alessandro Farinelli

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Safety-informed mutations for evolutionary deep reinforcement learning.

Enrico Marchesini, Christopher Amato

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Exploring Safer Behaviors for Deep Reinforcement Learning.

Enrico Marchesini, Davide Corsi, Alessandro Farinelli

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation.

Alberto Castellini, Enrico Marchesini, Alessandro Farinelli

Eng. Appl. Artif. Intell., 2021

Formal verification of neural networks for safety-critical tasks in deep reinforcement learning.

Davide Corsi, Enrico Marchesini, Alessandro Farinelli

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation.

Enrico Marchesini, Alessandro Farinelli

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation.

Enrico Marchesini, Davide Corsi, Alessandro Farinelli

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning.

Enrico Marchesini, Davide Corsi, Alessandro Farinelli

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Environment Properties in Partially Observable Monte Carlo Planning.

Maddalena Zuccotto, Alberto Castellini, Marco Piccinelli, Enrico Marchesini, Alessandro Farinelli

Proceedings of the 8th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020

Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification.

Davide Corsi, Enrico Marchesini, Alessandro Farinelli

CoRR, 2020

Formal Verification for Safe Deep Reinforcement Learning in Trajectory Generation.

Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Paolo Fiorini

Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

Discrete Deep Reinforcement Learning for Mapless Navigation.

Enrico Marchesini, Alessandro Farinelli

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Explaining the Influence of Prior Knowledge on POMCP Policies.

Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020

Genetic Deep Reinforcement Learning for Mapless Navigation.

Enrico Marchesini, Alessandro Farinelli

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator.

Enrico Marchesini, Davide Corsi, Andrea Benfatti, Alessandro Farinelli, Paolo Fiorini

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities.

Alberto Castellini, Enrico Marchesini, Alessandro Farinelli

Proceedings of the 6th Italian Workshop on Artificial Intelligence and Robotics co-located with the XVIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019), 2019