Mobile application cross-platform reinforcement learning traversal test technology based on depth image understanding

A mobile application cross-platform reinforcement learning traversal test technology based on depth image understanding comprises an interaction module, a depth image understanding module and a reinforcement learning module. And the interaction module performs screen capture on the operation state of the apk, provides the captured state to the depth image understanding module, and selects action execution through the reinforcement learning module, so as to interact with the mobile application. The depth image understanding module carries out screenshot and analysis on a current interface of an application through a screenshot encoder, and respectively generates state and feature vectors after executable action encoding. The reinforcement learning module analyzes the advantages and disadvantages of the state and action pairs through a DQN model, selects the optimal executable action, and achieves the efficient exploration of the mobile application state space. 一种基于深度图像理解的移动应用跨平台强化学习遍历测试技术，包括交互模块，深度图像理解模块，强化学习模