Wavelet Policy combines world prior memory from background images with wavelet-domain multi-scale action modeling via a single-encoder multiple-decoder architecture to improve long-horizon robotic imitation learning.
Deep learning-based imitation of human actions for autonomous pick-and-place tasks
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Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory
Wavelet Policy combines world prior memory from background images with wavelet-domain multi-scale action modeling via a single-encoder multiple-decoder architecture to improve long-horizon robotic imitation learning.