Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning

Figure 1. This figure demonstrate the long-horizon precise prediction by the Neural Motion Simulators. In each of the three pictures, the first row shows the ground-truth states and the second row shows the predicted states with the same initial condition and actions sequence. Humanoid predicts for 30 steps with rendering every 3 steps; Panda predicts for 200 steps with rendering every 20 steps; myohand predicts for 400 steps with rendering every 40 steps.