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Coding agents can now autonomously refine robotic manipulation policies, achieving a staggering 99% success rate on complex tasks with minimal human oversight.
Forget static datasets – RL-based co-training unlocks +20% real-world VLA performance by interactively leveraging simulation while preserving real-world capabilities.
