Decision-making of autonomous driving based on reinforcement learning

This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along wit...

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Main Author:	Shi, Max Ziyi
Other Authors:	Lyu Chen
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Computer and Information Science Engineering
Online Access:	https://hdl.handle.net/10356/177878
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1778782024-06-03T08:38:18Z Decision-making of autonomous driving based on reinforcement learning Shi, Max Ziyi Lyu Chen School of Mechanical and Aerospace Engineering lyuchen@ntu.edu.sg Computer and Information Science Engineering This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along with optimization in order to build and train RL models that will allow a self-driving car in a simulated environment to operate autonomously. The models are evaluated based on quantitative metrics that ensures safety and dynamic performance of the AV. Bachelor's degree 2024-06-03T08:38:18Z 2024-06-03T08:38:18Z 2024 Final Year Project (FYP) Shi, M. Z. (2024). Decision-making of autonomous driving based on reinforcement learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177878 https://hdl.handle.net/10356/177878 en C050 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Computer and Information Science Engineering
spellingShingle	Computer and Information Science Engineering Shi, Max Ziyi Decision-making of autonomous driving based on reinforcement learning
description	This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along with optimization in order to build and train RL models that will allow a self-driving car in a simulated environment to operate autonomously. The models are evaluated based on quantitative metrics that ensures safety and dynamic performance of the AV.
author2	Lyu Chen
author_facet	Lyu Chen Shi, Max Ziyi
format	Final Year Project
author	Shi, Max Ziyi
author_sort	Shi, Max Ziyi
title	Decision-making of autonomous driving based on reinforcement learning
title_short	Decision-making of autonomous driving based on reinforcement learning
title_full	Decision-making of autonomous driving based on reinforcement learning
title_fullStr	Decision-making of autonomous driving based on reinforcement learning
title_full_unstemmed	Decision-making of autonomous driving based on reinforcement learning
title_sort	decision-making of autonomous driving based on reinforcement learning
publisher	Nanyang Technological University
publishDate	2024
url	https://hdl.handle.net/10356/177878
_version_	1800916333660995584

Decision-making of autonomous driving based on reinforcement learning

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