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Higher-Order Morphology Priors for Quadruped Reinforcement Learning Under Actuator Degradation

You, Derek et al.
arXiv (All) · Papers
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machine-learningrobotics
Actuator degradation turns quadruped locomotion into a coordination problem requiring joints to compensate for lost actuation. Prior work suggests that morphology-aware graph policies improve learning and generalization under body perturbations. We ask whether these benefits can be strengthened by e
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