Toward Self-Driving Bicycles Using State-of-the-Art Deep Reinforcement Learning Algorithms

In this paper, we propose a controller for a bicycle using the DDPG (Deep Deterministic Policy Gradient) algorithm, which is a state-of-the-art deep reinforcement learning algorithm. We use a reward function and a deep neural network to build the controller. By using the proposed controller, a bicyc...

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Bibliographic Details

Published in:	Symmetry (Basel) Vol. 11; no. 2; p. 290
Main Authors:	Choi, SeungYoon, Le, Tuyen P., Nguyen, Quang D., Layek, Md Abu, Lee, SeungGwan, Chung, TaeChoong
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2019
Subjects:	Algorithms Artificial neural networks Bicycles Control theory Controllers Deep learning Learning Machine learning Neural networks Optimization Performance evaluation Tires Velocity
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
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