Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-Scale Intelligent Vehicle

Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-Scale Intelligent Vehicle

Reinforcement learning (RL) based techniques have been employed for the tracking and adaptive cruise control of a small-scale vehicle with the aim to transfer the obtained knowledge to a full-scale intelligent vehicle in the near future. Unlike most other control techniques, the purpose of this stud...

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Bibliographic Details
Main Authors: Bo Hu, Jiaxi Li, Jie Yang, Haitao Bai, Shuang Li, Youchang Sun, Xiaoyu Yang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Symmetry
Subjects:
reinforcement learning
adaptive control
small-scale intelligent vehicle
Q-learning
Online Access:https://www.mdpi.com/2073-8994/11/9/1139

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https://www.mdpi.com/2073-8994/11/9/1139

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