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By representing motion primitives as a graph, this work enables robots to stitch together previously learned skills to solve entirely new tasks from just a few demonstrations.
Forget painstakingly tuning reward weights: this two-stage curriculum trains robots more effectively by first focusing on task completion, then layering in desired behaviors.
