TL;DR of the paper, generated automatically.

Research paper on training crowd-navigation agents with world models, removed at deployment.

• Idea: world models used only in training, to teach a fast policy foresight.
• Deployment: both world models are removed, so the policy acts in one forward pass.
• Results: safer, more social navigation than baselines, across five held-out scenarios.