SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM
SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM explores SAIL is a framework that improves robot imitation learning by iteratively refining trajectories using a vision language model and Monte Carlo Tree Search, scaling with test-time compute.. Commercial viability score: 7/10 in Robotics.
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