Runs a global hill-climb optimization loop where the parent is always the current best candidate and the val significance gate decides acceptance. Use as the algorithm for most runs. Pick how each iteration's reflection is focused with --focus all (whole train set), cyclic (one task at a time), or h
Runs a global hill-climb optimization loop where the parent is always the current best candidate and the val significance gate decides acceptance. Use as the algorithm for most runs. Pick how each iteration's reflection is focused with --focus all (whole train set), cyclic (one task at a time), or hardest-first (lowest-scoring tasks first). Replaces the former all-at-once, cyclic, and hardest-firs
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