Before revision:  We conduct a rigorous study of useful inductive biases that learn to predict the trajectories up to large horizons well, and capture true dependency relations between the states and the controls through our synthetic setup, and simulated data from electric motors .
After revision:  We conduct a rigorous study of useful inductive biases that learn to predict the trajectories up to large horizons in contrast to standard NNs, and indeed capture the true dependency relations between the states and the controls through our synthetic setup, and simulated data from electric motors .