Enhanced learning-based empirical playback buffer pool aircraft data processing method

The invention relates to an empirical playback buffer pool aircraft data processing method based on reinforcement learning. The method comprises the following steps: acquiring a sample data set in an empirical playback buffer pool of aircraft attitude control multi-dimensional data; inputting the sample data set into a reinforcement learning neural network for calculation to obtain an accumulated reward value of the sample data set; judging a size relationship between the accumulated reward value and a preset threshold value, and inputting the sample into a first sample pool in the experience playback buffer pool when the accumulated reward value and the preset threshold value meet a first size relationship; when the accumulated reward value and the preset threshold meet a second size relationship, inputting the sample into a second sample pool in the experience playback buffer pool; when experience playback sampling is carried out, sampling is carried out between the first sample pool and the second sample p