Learning to Get Up
Event Type
Technical Paper
Interest Areas
Research & Education
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DescriptionWe develop a method for generating natural and diverse human get-up behaviors using deep reinforcement learning. The learned control policies enable characters to get up from any initial fallen pose, either slowly or quickly. We visualize the solution modes learned by the controllers from various initial states.