World-model planning drops CEM: sampling tree search is 13.8x faster in simulation and lifts real-robot block pushing by 20%
For long-horizon planning with world models, sampling-based tree search in latent space replaces optimizers such as CEM and MPPI, cutting planning time by up to 13.8x in simulation and raising real-robot block-pushing success by 20%.