INTACT: Isomorphic Intent-to-Action Learning for World Models

INTACT is an end-to-end JEPA architecture that converts reward-free trajectories into an intent-to-action interface. By using an isomorphic backbone for both local and goal motion-intent, it eliminates the need for expensive test-time search to recover actions.