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

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
Main Authors: SeungYoon Choi, Tuyen P. Le, Quang D. Nguyen, Md Abu Layek, SeungGwan Lee, TaeChoong Chung
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Symmetry
Subjects:
deep reinforcement learning
deep deterministic policy gradient (DDPG)
machine learning
self-driving bicycle
Online Access:https://www.mdpi.com/2073-8994/11/2/290

Internet

https://www.mdpi.com/2073-8994/11/2/290

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