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Marchesini, Enrico
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1

Climate and landscape composition explain agronomic practic..:

Geppert, Costanza ; da Cruz, Mariana ; Alma, Alberto...
Agricultural Systems.  215 (2024)  - p. 103853 , 2024
Link: https://doi.org/10.1016/..
 
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2

Entropy Maximization in High Dimensional Multiagent State S..:

, In: 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS),
Aydeniz, Ayhan Alp ; Marchesini, Enrico ; Loftin, Robert. - p. 92-99 , 2023
Link: https://doi.org/10.1109/..
 
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3

Online Safety Property Collection and Refinement for Safe D..:

, In: 2023 IEEE International Conference on Robotics and Automation (ICRA),
Marzari, Luca ; Marchesini, Enrico ; Farinelli, Alessandro - p. 7133-7139 , 2023
Link: https://doi.org/10.1109/..
 
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4

Enhancing Deep Reinforcement Learning Approaches for Multi-..:

, In: 2022 International Conference on Robotics and Automation (ICRA),
Marchesini, Enrico ; Farinelli, Alessandro - p. 5525-5531 , 2022
Link: https://doi.org/10.1109/..
 
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5

Safety-informed mutations for evolutionary deep reinforceme..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Marchesini, Enrico ; Amato, Christopher - p. 1966-1970 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

Curriculum learning for safe mapless navigation:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,
Marzari, Luca ; Corsi, Davide ; Marchesini, Enrico. - p. 766-769 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

A high-resolution physical modelling approach to assess run..:

Straffelini, Eugenio ; Pijl, Anton ; Otto, Stefan...
Soil and Tillage Research.  222 (2022)  - p. 105418 , 2022
Link: https://doi.org/10.1016/..
 
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8

Learning State-Variable Relationships in POMCP: A Framework..:

Zuccotto, Maddalena ; Piccinelli, Marco ; Castellini, Alberto..
Frontiers in Robotics and AI.  9 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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9

The Control of the American Leafhopper Erasmoneura vulnerat..:

Tirello, Paola ; Marchesini, Enrico ; Gherardo, Pamela...
Insects.  12 (2021)  2 - p. 85 , 2021
Link: https://doi.org/10.3390/..
 
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10

Partially Observable Monte Carlo Planning with state variab..:

Castellini, Alberto ; Marchesini, Enrico ; Farinelli, Alessandro
Engineering Applications of Artificial Intelligence.  104 (2021)  - p. 104382 , 2021
Link: https://doi.org/10.1016/..
 
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11

Discrete Deep Reinforcement Learning for Mapless Navigation:

, In: 2020 IEEE International Conference on Robotics and Automation (ICRA),
Marchesini, Enrico ; Farinelli, Alessandro - p. 10688-10694 , 2020
Link: https://doi.org/10.1109/..
 
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12

Explaining the Influence of Prior Knowledge on POMCP Polici..:

, In: Multi-Agent Systems and Agreement Technologies; Lecture Notes in Computer Science,
Castellini, Alberto ; Marchesini, Enrico ; Mazzi, Giulio. - p. 261-276 , 2020
Link: https://doi.org/10.1007/..
 
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13

Genetic Deep Reinforcement Learning for Mapless Navigation:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,
Marchesini, Enrico ; Farinelli, Alessandro - p. 1919-1921 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

Formal Verification for Safe Deep Reinforcement Learning in..:

, In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC),
Corsi, Davide ; Marchesini, Enrico ; Farinelli, Alessandro. - p. 352-359 , 2020
Link: https://doi.org/10.1109/..
 
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15

Managing the vine mealybug, Planococcus ficus, through pher..:

Lucchi, Andrea ; Suma, Pompeo ; Ladurner, Edith...
Environmental Science and Pollution Research.  26 (2019)  11 - p. 10708-10718 , 2019
Link: https://doi.org/10.1007/..
 
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