Luca Lazzaroni

Orcid: 0000-0001-8092-5473

According to our database1, Luca Lazzaroni authored at least 20 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles.
Int. J. Serious Games, November, 2023

Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations.
IEEE Access, 2023

Supporting a .csv-based Workflow in MongoDB for Data Analysts.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Application of a Serious Game for Emotion Elicitation Under Socio-Economic and Trust Based Decision-Making Scenarios for Autistic Adolescents.
Proceedings of the Games and Learning Alliance - 12th International Conference, 2023

Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

YoloP-Based Pre-processing for Driving Scenario Detection.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
Assessing Versatility of a Generic End-to-End Platform for IoT Ecosystem Applications.
Sensors, 2022

High-Level Decision-Making Non-player Vehicles.
Proceedings of the Games and Learning Alliance: 11th International Conference, 2022

A Serious Game for Using Socio-Economic and Trust Based Decision-Making Scenarios for Elicitation of Emotional Responses.
Proceedings of the Games and Learning Alliance: 11th International Conference, 2022

Deep Reinforcement Learning for Automated Car Parking.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Developing a Toolchain for Synthetic Driving Scenario Datasets.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Investigating High-Level Decision Making for Automated Driving.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021
Adapting Autonomous Agents for Automotive Driving Games.
Proceedings of the Games and Learning Alliance - 10th International Conference, 2021

Developing a Synthetic Dataset for Driving Scenarios.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

Classifying Simulated Driving Scenarios from Automated Cars.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

2020
Employing an IoT Framework as a Generic Serious Games Analytics Engine.
Proceedings of the Games and Learning Alliance - 9th International Conference, 2020

Edgine, A Runtime System for IoT Edge Applications.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2020


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