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University of Illinois at Chicago
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Robots can learn new skills without sacrificing the reliability of previously acquired abilities, achieving a 64% boost in success rates through an innovative wake-sleep consolidation method.
Robots can recover from unexpected mid-episode failures up to 87% faster by adding a small, carefully constrained control signal on top of a pre-trained policy, without any further training.
