Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning

Figure 6

Reinforcement learning used for the detection and classification policy of wall defect detection. The agent outputs a location action and an environment action when it interacts with the environment. In return, the environment gives the agent the next state and a reward .