Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/177878
Title: Decision-making of autonomous driving based on reinforcement learning
Authors: Shi, Max Ziyi
Keywords: Computer and Information Science
Engineering
Issue Date: 2024
Publisher: Nanyang Technological University
Source: 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
Project: C050 
Abstract: 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.
URI: https://hdl.handle.net/10356/177878
Schools: School of Mechanical and Aerospace Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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