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LLMs can explore codebases far more effectively by planning test sequences that balance immediate coverage with long-term reachability, boosting branch coverage by up to 77% compared to greedy methods.
By explicitly modeling the interplay between morphology and control, Stackelberg PPO stabilizes training and boosts performance in morphology-control co-design tasks.
