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Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
Deep imitation learning requires many expert demonstrations, which can b...
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Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Deep Imitation Learning requires a large number of expert demonstrations...
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