Article

MOON: Learning When to Forget and How to Recover for Vision-Language Navigation Policies

MOON is a framework that adds two lightweight modules to a frozen vision-language navigation (VLN) policy, with fewer than 1% additional parameters relative to the original policy, raising the navigation success rate of the frozen base by 5.2 and 6.0 percentage points on R2R-CE and RxR-CE, respectively.

Part of the event: MOON: Adding a Deviation Recovery Module to Frozen VLN Policies

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