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Abandoning biased offline critics leads to more efficient online reinforcement learning, achieving superior performance on challenging tasks.
Harness VLA boosts the performance of frozen VLA models by 38.6 percentage points on challenging manipulation tasks without the need for finetuning.
STEAM redefines how robots learn from mixed-quality data, achieving up to 59% higher success rates in real-world tasks by effectively identifying reliable progress.
