Scholar
Enrico Marchesini
Google Scholar ID: 9V1_SGkAAAAJ
Massachusetts Institute of Technology
Citations & Impact
Citations
656
H-index
15
i10-index
18
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- 2025: Paper “Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation” accepted by IEEE Robotics and Automation Letters.
- 2025: Papers “On Stateful Value Factorization in Multi-Agent Reinforcement Learning” and “Improving Policy Optimization via ε-Retrain” accepted at AAMAS 2025.
- 2024: Paper “Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees” accepted at AAAI 2024.
- 2024: Collaboration paper “Entropy Seeking Constrained Multiagent Reinforcement Learning” accepted at AAMAS 2024.
- 2023: Paper “Entropy Maximization in High Dimensional Multiagent State Spaces” accepted at MRS 2023.
- 2023: Three papers accepted at ICLR 2023, AAMAS 2023, and ICRA 2023 on policy gradient improvement, task-level safety verification, and online safety property collection for mapless navigation.
- 2022: Paper “Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search” accepted at ICRA 2022.
- 2022: Presented “Safety-Informed Mutations for Evolutionary Deep Reinforcement Learning” at GECCO EvoRL Workshop.
