Results for "supervised imitation"

Learning policies from expert demonstrations.

Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen inputs.

Training with a small labeled dataset plus a larger unlabeled dataset, leveraging assumptions like smoothness/cluster structure.

Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual annotation.