Application of Reinforcement Learning in Autonomous Navigation for Virtual Vehicles

Author

Niu, Lianqiang ; Li, Ling

Author_Institution

Software Schoolm, Shenyang Univ. of Technol., Shenyang, China

Volume

2

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

30

Lastpage

32

Abstract

To solve the basic problem in the autonomous navigation for the virtual vehicles, the application of reinforcement learning is discussed, combined with artificial neural network, a model is proposed to realize the autonomous navigation for virtual vehicles. The autonomous navigation for the virtual vehicles is accomplished by reinforcement learning, the generalization problem for the action selection is solved by neural network, the model is tested by virtual environment, and the experiments show that the model is available and feasible.

Keywords

generalisation (artificial intelligence); intelligent robots; learning (artificial intelligence); mobile robots; neurocontrollers; action selection; artificial neural network; autonomous navigation; generalization problem; reinforcement learning; virtual vehicle; Application software; Arithmetic; Artificial neural networks; Hybrid intelligent systems; Mobile robots; Navigation; Neural networks; Remotely operated vehicles; Space technology; Supervised learning; Q-learning; autonomous navigation; neural network; reinforcement learning; virtual vehicle;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.118

Filename

5254414