Is iLQG a good algorithm for model-based planning with simple environments?

In their work Continuous Deep Q-Learning with Model-based Acceleration, the author demonstrate great results of applying Imagination Rollouts for model-based acceleration of learning. They test their algorithm on manipulation tasks in a Mujoco simulation. I wonder whether similar accelaration would be possible in classic environments like Pendulum-v0.