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ORCIDAlessandro Farinelli
- > Home > Persons > Alessandro Farinelli
Publications
- 2024
[c140]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. AAAI 2024: 21387-21394- 2023
- [c136]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. AAMAS 2023: 1466-1475 - [c130]Luca Marzari, Enrico Marchesini
, Alessandro Farinelli:
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. ICRA 2023: 7133-7139 - [c129]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. IJCAI 2023: 217-224 - [c128]Davide Corsi, Luca Marzari, Ameya Pore, Alessandro Farinelli, Alicia Casals, Paolo Fiorini, Diego Dall'Alba:
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. IROS 2023: 10289-10294 - [c127]Federico Bianchi, Davide Corsi, Luca Marzari, Daniele Meli, Francesco Trotti, Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli:
Safe and Efficient Reinforcement Learning for Environmental Monitoring. Ital-IA 2023: 610-615 - [c126]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. TACAS (1) 2023: 607-627 - [i25]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification problem: Counting Unsafe Inputs for Deep Neural Networks. CoRR abs/2301.07068 (2023) - [i24]Luca Marzari, Enrico Marchesini, Alessandro Farinelli:
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. CoRR abs/2302.06695 (2023) - [i23]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR abs/2302.10030 (2023) - [i21]Davide Corsi, Luca Marzari, Ameya Pore, Alessandro Farinelli, Alicia Casals, Paolo Fiorini, Diego Dall'Alba:
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. CoRR abs/2303.03207 (2023) - [i18]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. CoRR abs/2308.09842 (2023) - [i17]Luca Marzari, Gabriele Roncolato, Alessandro Farinelli:
Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing. CoRR abs/2312.05890 (2023) - 2022
- [c116]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum learning for safe mapless navigation. SAC 2022: 766-769 - [i15]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. CoRR abs/2205.13536 (2022) - 2021
- [c110]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. ICAR 2021: 640-645 - [i13]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. CoRR abs/2102.04022 (2021) - [i7]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum Learning for Safe Mapless Navigation. CoRR abs/2112.12490 (2021)
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