Research Article
Autonomous Navigation of the UAV through Deep Reinforcement Learning with Sensor Perception Enhancement
Algorithm 1
ANOAU algorithm for autonomous navigation of the UAV.
Input: Actor network parameters | Critic network parameters | Enhance network parameters | Output: UAV’s navigation policy | Initialize , , , episode experience pool | forepisode = 1, 2, …Mdo | Initialize UAV status and get sensor information | | forstep = 1, …Tdo | Enhance by use sensor perception enhancement, generate | Select a UAV action = | Obtain reward and observation by run UAV action | Store episode experience in where handle by use sensor perception enhancement | end | fori = 1, …Ndo | Sample minibatch of experience from D | Gradient descent step on Equation 26 with respect to the weights , | Gradient aescent step on Equation 25 with respect to the weights | end | | end |
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