A method and device for calibrating the physics engine of the virtual world simulator used for learning deep learning infrastructure devices, a method for learning a real state network for that purpose, and a learning device using it.

摘要

A method for calibrating a physics engine of a virtual world simulator for learning of a deep learning-based device is provided. The method includes steps of a calibrating device (a) if virtual current frame information corresponding to a virtual current state in virtual environment is acquired, (i) transmitting the virtual current frame information to the deep learning-based device to output virtual action information, (ii) transmitting the virtual current frame information and the virtual action information to the physics engine to output virtual next frame information corresponding to the virtual current frame information and the virtual action information, and (iii) transmitting the virtual current frame information and the virtual action information to a real state network learned to output predicted next frame information in response to action in a real environment to output predicted real next frame information; and (b) optimizing the previous calibrated parameters to generate current calibrated parameters.