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• W2898056611 abstract "In this paper, the problem of path planning of quadrotor unmanned aerial vehicles (UAVs) is investigated in the framework of reinforcement learning methodology. With the abstraction of the environment in the form of grid world in 2D, the design procedure is presented by utilizing the Dyna-Q algorithm, which is one of the reinforcement method combining both model-based and non-model framework. In this process, an optimal or suboptimal safe flight trajectory will be obtained by learning constantly and planning by simulated experience, thus calculative reward can be maximized efficiently. Matlab software is used for maze establishing and computation, and the effectiveness of the proposed method is illustrated by two typical examples." @default.
• W2898056611 created "2018-10-26" @default.
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• W2898056611 date "2018-01-01" @default.
• W2898056611 modified "2023-10-05" @default.
• W2898056611 title "Dyna-Q Algorithm for Path Planning of Quadrotor UAVs" @default.
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• W2898056611 doi "https://doi.org/10.1007/978-981-13-2853-4_27" @default.
• W2898056611 hasPublicationYear "2018" @default.
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