Human-guided reinforcement learning: methodology and application to autonomous driving

Human-guided reinforcement learning: methodology and application to autonomous driving

The thriving artificial intelligence (AI) technologies have been used to address various challenges in the physical world. Currently, AI methods are widely used in perception, decision-making, and control in many autonomous systems. As a typical application of AI in real world, Autonomous vehicles (...

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Bibliographic Details
Main Author: Wu, Jingda
Other Authors: Lyu Chen
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Mechanical engineering::Motor vehicles
Online Access:https://hdl.handle.net/10356/169780

Internet

https://hdl.handle.net/10356/169780

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