Robot controller, system, robot control method, policy updating method, and neural network

摘要

Based on the action plan of the action by the virtual robot in the simulation environment which the first model output, the second model which outputs the control value of the robot of the real environment in the real environment capable of realizing the above operation is carried out by reinforcement learning, and it is processed by the reinforcement learning. Is characterized by the execution of the computer.