Presentation
Learning to Get Up
SessionTechnical Papers
Event Type
Technical Paper
Research & Education
Virtual
Full Conference Supporter
Full Conference
Virtual Conference Supporter
Virtual Conference
Exhibitor Additional Full Conference
Exhibitor Full Conference
Time
Location
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.
