Preprint Open access
Verti-WM: A Physics-Aided Exteroceptive World Model for Off-Road Reinforcement Learning
Reinforcement learning for off-road navigation requires extensive vehicle-terrain interaction data, which are costly to collect in high-fidelity simulation. World models offer a promising alternative by replacing simulator roll-outs during policy optimization. However, an off-road world model must condition state trans …