Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation

Understand

A key challenge on the path to developing agents that learn complex human-like behavior is the need to quickly and accurately quantify human-likeness.

• While human assessments of such behavior can be highly accurate, speed and scalability are limited.
• We address these limitations through a novel automated Navigation Turing Test (ANTT) that learns to predict human judgments of human-likeness.
• We demonstrate the effectiveness of our automated NTT on a navigation task in a complex 3D environment.