AI-Assisted for Modeling Multitasking Driver

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Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu | Master's thesis
Date
2022-12-12
Department
Major/Subject
Data Science
Mcode
SCI3115
Degree programme
Master's Programme in ICT Innovation
Language
en
Pages
36
Series
Abstract
Driving a vehicle is one of the most complicated tasks for the artificial intelligence algorithms to learn and perform well. One of the approaches to tackle this problem towards creating fully autonomous cars is to understand the human driver. The human driver behind the wheel, acts as a multitask agent whose main task is driving, but also interacts with other passengers, in-car entertainment and information systems, or her mobile devices. In this thesis, we will create an AI agent using Reinforcement Learning algorithms to model the multitasking driver behavior.
Description
Supervisor
Precioso, Frederic
Thesis advisor
Oulasvirta, Antti
Keywords
reinforcement learning, multi-agent RL, cooperative agents, autonomous cars
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