Missing target searching method based on reinforcement learning algorithm
A technology of reinforcement learning and target search, applied in machine learning, computing, computing models, etc.
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[0059] In order to make the features and advantages of this patent more obvious and understandable, the following specific examples are given to illustrate in detail as follows:
[0060] Such as image 3 As shown, taking a vehicle as a target as an example, the method for selecting a search position at a search time based on a reinforcement learning algorithm provided in an embodiment of the present invention mainly includes the following steps:
[0061] Step S1. Data preprocessing: This step includes discretization of time and space; discretization of target movement trajectory; scalarization of search difficulty in different time and space, namely search cost: Step S11, connect and read the original database, and obtain the target GPS coordinate information, extract the complete trajectory data of the target one day according to the ID; step S12, discretize the time of one day at a fixed time interval ΔT, discretize a certain space according to a fixed size area ΔS, and each Disc...
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