Adaptive Rollout Truncation Based on Epistemic Uncertainty for Efficient Offline World Model Training

Nikodem Sebastian Zymla, Laurin Thiele, Johannes Pitz

Accurate neural world models are central to model-based robotics, where they enable robots to predict future states from previously observed trajectories. Multi-step autoregressive…