Verified65% confidenceFactExact time
Reinforcement learning acquires locomotion skills through massive trial-and-error in simulation environments, with reward functions that include metrics such as energy efficiency, driving robot movements toward being effortless and fluid, thereby producing human-like characteristics.
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8/26/2026
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