A three-tier feudal navigation agent with a self-supervised memory proxy map, a human-imitation waypoint network, and a low-level action classifier achieves state-of-the-art image-goal navigation in unseen Gibson environments without odometry, graphs, or reinforcement learning.
Maast: Map attention with semantic transformers for efficient visual navigation
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Memory Proxy Maps for Visual Navigation
A three-tier feudal navigation agent with a self-supervised memory proxy map, a human-imitation waypoint network, and a low-level action classifier achieves state-of-the-art image-goal navigation in unseen Gibson environments without odometry, graphs, or reinforcement learning.