Garbage sorting device and method based on deep reinforcement learning

The invention discloses a garbage sorting device and method based on deep reinforcement learning. The device comprises a workbench, a mechanical arm, an AI calculation unit and a camera which are arranged on the workbench. The workbench is provided with a to-be-sorted region for placing to-be-sorted garbage. The camera acquires image data regularly and sends the image data to the AI calculation unit, and the image data comprises the situation of the to-be-sorted garbage in the to-be-sorted region and the state of the mechanical arm; the AI calculation unit adopts a deep reinforcement learningmodel to calculate the current optimal action of the mechanical arm according to the image data acquired by the camera, outputs a corresponding control instruction and sends the control instruction tothe mechanical arm; and the mechanical arm acts according to the control instruction outputted by the AI calculation unit, grabs, moves and throws the to-be-sorted garbage so as to complete garbage sorting. The optimal action