AI-Assisted for Modeling Multitasking Driver

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master_Firooz_Hossein_2022.pdf (2.95 MB)

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Volume Title

Perustieteiden korkeakoulu | Master's thesis
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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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https://urn.fi/URN:NBN:fi:aalto-202212187078

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[dipl] Perustieteiden korkeakoulu / SCI