Alessandro Pighetti

Orcid: 0009-0001-7166-5750

According to our database1, Alessandro Pighetti authored at least 7 papers between 2022 and 2023.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

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

A Teacher-Configurable Scoring System for Serious Games.
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

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

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


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