Application of Reinforcement Learning in Autonomous Navigation for Virtual Vehicles

Lianqiang Niu, Ling Li
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引用次数: 1

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.
强化学习在虚拟车辆自主导航中的应用
为了解决虚拟车辆自主导航中的基本问题,讨论了强化学习的应用,结合人工神经网络,提出了实现虚拟车辆自主导航的模型。采用强化学习方法实现了虚拟车辆的自主导航,利用神经网络解决了动作选择的泛化问题,并通过虚拟环境对模型进行了验证,实验表明该模型是有效可行的。
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