Marianna Cossu

Orcid: 0009-0008-4548-7648

According to our database1, Marianna Cossu authored at least 15 papers between 2021 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

A Teacher-Configurable Scoring System for Serious Games.
Proceedings of the Games and Learning Alliance - 12th International Conference, 2023

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

A Synthetic Dataset Generator for Automotive Overtaking Maneuver Detection.
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
High-Level Decision-Making Non-player Vehicles.
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


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