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Humanoid robots can now nimbly switch between agile and stable control on the fly, thanks to a new hierarchical RL approach that learns when to prioritize speed versus balance.
Humanoid robots can now learn robust object manipulation and navigation entirely through reinforcement learning, surpassing imitation learning methods in real-world adaptability.
