End to end autonomous driving simulation based on reinforcement learning

This paper presents a comprehensive study that explores the application of reinforcement learning (RL) algorithms, specifically Deep Q-Network (DQN) and Soft Actor Critic (SAC), in the context of end-to-end autonomous driving. The research project utilizes the SMARTS Simulator, an open-source softwa...

全面介绍

书目详细资料
主要作者: Wong, Kenzhi Iskandar
其他作者: Lyu Chen
格式: Final Year Project (FYP)
语言:English
出版: Nanyang Technological University 2024
主题:
在线阅读:https://hdl.handle.net/10356/177154