BND*-DDQN: learn to steer autonomously through deep reinforcement learning

• Main Authors: Wu, Keyu, Wang, Han, Esfahani, Mahdi Abolfazli, Yuan, Shenghai
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Feature Extraction; Training
• Online Access: https://hdl.handle.net/10356/159818
• Institution: Nanyang Technological University

It is vital for mobile robots to achieve safe autonomous steering in various changing environments. In this paper, a novel end-to-end network architecture is proposed for mobile robots to learn steering autonomously through deep reinforcement learning. Specifically, two sets of feature representatio...