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Forget brittle multi-policy execution and manual resets: RoboClaw's "Entangled Action Pairs" let robots self-correct and learn continuously, slashing human intervention by over 50% while boosting task success.
Forget full fine-tuning: this dynamic routing strategy lets you adapt dense retrieval to new domains while using just 2% of the parameters.
