Approximately speaking, you have a world model and an agent model. You continue to train the world model using data collected by the robot day-to-day. The robot "dreams" by running the agent model against the world model instead of moving around in the real world. Dreaming for thousands of (simulated) hours is much more efficient than actually running the physical hardware for thousands of wall clock hours.