A hierarchical reinforcement learning system that composes mocap-learned walk, turn, and sit skills under a learned task controller improves simulated sitting success over prior baselines.
u tepage, J.; Black, M. J.; Kragic, D.; and Kjellstr\
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Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
A hierarchical reinforcement learning system that composes mocap-learned walk, turn, and sit skills under a learned task controller improves simulated sitting success over prior baselines.