LAZZARONI, LUCA

LAZZARONI, LUCA  

100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni  

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Risultati 1 - 20 di 24 (tempo di esecuzione: 0.017 secondi).
Titolo Data di pubblicazione Autore(i) File
A Serious Game for Using Socio-Economic and Trust Based Decision-Making Scenarios for Elicitation of Emotional Responses 1-gen-2022 Ahmed, Fahad; Requena Carrion, Jesus; Bellotti, Francesco; Lazzaroni, Luca; Barresi, Giacinto; Berta, Riccardo
Adapting Autonomous Agents for Automotive Driving Games 1-gen-2021 Campodonico, G.; Bellotti, F.; Berta, R.; Capello, A.; Cossu, M.; De Gloria, A.; Lazzaroni, L.; Taccioli, T.; Davio, F.
Application of a Serious Game for Emotion Elicitation Under Socio-Economic and Trust Based Decision-Making Scenarios for Autistic Adolescents 1-gen-2024 Ahmed, F.; Berta, R.; Bellotti, F.; Floris, F.; Lazzaroni, L.; Barresi, G.; Carrion, J. R.
Assessing Versatility of a Generic End‐to‐End Platform for IoT Ecosystem Applications 1-gen-2022 Berta, R.; Bellotti, F.; De Gloria, A.; Lazzaroni, L.
Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach 1-gen-2024 Lazzaroni, Luca; Pighetti, Alessandro; Bellotti, Francesco; Capello, Alessio; Cossu, Marianna; Berta, Riccardo
Building a Pipeline for Efficient Production of Synthetic Datasets for Improving RL in Automated Driving 1-gen-2024 Lazzaroni, L.; Pighetti, A.; Bellotti, F.; Berta, R.
Classifying Simulated Driving Scenarios from Automated Cars 1-gen-2022 Cossu, M.; Villon, J. L. Q.; Bellotti, F.; Capello, A.; De Gloria, A.; Lazzaroni, L.; Berta, R.
Deep Reinforcement Learning for Automated Car Parking 1-gen-2023 Lazzaroni, L.; Bellotti, F.; Capello, A.; Cossu, M.; De Gloria, A.; Berta, R.
Designing an Interpretability Analysis Framework for Deep Reinforcement Learning (DRL) Agents in Highway Automated Driving Simulation 1-gen-2023 Bellotti, F.; Lazzaroni, L.; Capello, A.; Cossu, M.; De Gloria, A.; Berta, R.
Developing a Synthetic Dataset for Driving Scenarios 1-gen-2022 Motta, J.; Bellotti, F.; Berta, R.; Capello, A.; Cossu, M.; De Gloria, A.; Lazzaroni, L.; Bonora, S.
Developing a Toolchain for Synthetic Driving Scenario Datasets 1-gen-2023 Cossu, M.; Berta, R.; Capello, A.; De Gloria, A.; Lazzaroni, L.; Bellotti, F.
Edgine, A Runtime System for IoT Edge Applications 1-gen-2021 Berta, R.; Mazzara, A.; Bellotti, F.; De Gloria, A.; Lazzaroni, L.
Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System 1-gen-2023 Fresta, M.; Bellotti, F.; Capello, A.; Cossu, M.; Lazzaroni, L.; De Gloria, A.; Berta, R.
Employing an IoT Framework as a Generic Serious Games Analytics Engine 1-gen-2020 Lazzaroni, L.; Mazzara, A.; Bellotti, F.; De Gloria, A.; Berta, R.
Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations 1-gen-2023 Bellotti, F.; Lazzaroni, L.; Capello, A.; Cossu, M.; De Gloria, A.; Berta, R.
High-Level Decision-Making Non-player Vehicles 1-gen-2022 Pighetti, A.; Forneris, L.; Lazzaroni, L.; Bellotti, F.; Capello, A.; Cossu, M.; De Gloria, A.; Berta, R.
Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles 1-gen-2023 Forneris, Luca; Pighetti, Alessandro; Lazzaroni, Luca; Bellotti, Francesco; Capello, Alessio; Cossu, Marianna; Berta, Riccardo
Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations 1-gen-2024 Pighetti, A.; Bellotti, F.; Oh, C.; Lazzaroni, L.; Forneris, L.; Fresta, M.; Berta, R.
Investigating High-Level Decision Making for Automated Driving 1-gen-2023 Capello, A.; Forneris, L.; Pighetti, A.; Bellotti, F.; Lazzaroni, L.; Cossu, M.; De Gloria, A.; Berta, R.
Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection 1-gen-2024 Fresta, M.; Dabbous, A.; Bellotti, F.; Capello, A.; Lazzaroni, L.; Pighetti, A.; Berta, R.