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I3L Turns Human Takeovers Into Better Robot Policies

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I3L combines iterative policy refinement with human takeovers and reaches at least 90 percent success on every task after four rounds, cutting takeover time by 72 percent.

Imitation LearningInteractive LearningRobot ManipulationHuman-in-the-Loop
Category: arm
Author: @robotsdigest
Date: 2026-10-31T00:00:00
Duration: 58.066s
Source: https://x.com/robotsdigest/status/2116632219263639961
Reference: https://arxiv.org/abs/2610.17748

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