CGAEW improves upon CGAE as the existence of world-state in the score of the attention layer allows the model better learn the grounding of entities in the instruction to the map.
our best model still fails on features not captured by our world-state: abstract unmarked entities such as blocks, intersections, etc, and generic entities such as traffic-lights (Tab.