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Forget hand-crafted reward functions: this RL framework lets a bicycle robot learn complex stunts from just a spatial guideline and a few key poses.
Bicycle robots can now do front-flips, thanks to a reinforcement learning method that bootstraps from dynamically infeasible reference motions.
