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Smaller LLMs can learn to predict when they'll fail, paving the way for efficient "ask for help" systems that rival the performance of much larger models.
By explicitly modeling the interplay between morphology and control, Stackelberg PPO stabilizes training and boosts performance in morphology-control co-design tasks.
