Abstract: The feedforward inverse compensation is a typical approach to compensate for the hysteresis nonlinearity in smart materials based actuators, which often requires to develop a hysteresis ...
Abstract: Adversarial Inverse Reinforcement Learning (AIRL) has gained popularity as an alternative to supervised imitation learning, addressing the distributional bias issue of the latter. However, ...
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