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Humanoid robots can learn entirely new complex manipulation skills at test-time by evolving reward programs, unlocking latent capabilities of pre-trained controllers.
Humanoids can now perform complex loco-manipulation tasks from egocentric vision and sparse goals, thanks to a unified controller trained without relying on predefined motion references at test time.
