Prioritized experience-based reinforcement learning with human guidance for autonomous driving

Reinforcement learning (RL) requires skillful definition and remarkable computational efforts to solve optimization and control problems, which could impair its prospect. Introducing human guidance into RL is a promising way to improve learning performance. In this article, a comprehensive human gui...

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Bibliographic Details
Main Authors: Wu, Jingda, Huang, Zhiyu, Huang, Wenhui, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178359
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Institution: Nanyang Technological University
Language: English