Application Research of Integrated Design Using Reinforcement Learning Model

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Abstract:

RL can autonomously get optional policy with the knowledge obtained by trial-and-error and continuously interacting with dynamic environment. firstly, the model and theory of reinforcement learning is given. Then, a description of the controller architecture and associated stability analysis is given, followed by a more in-depth look at its application to a tiltrotor aircraft. This is followed by a summary of future research directions, and possibilities for technology transition that are currently underway.

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183-186

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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