Title :
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
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;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.118