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INFIFORCE, Southern University of Science and Technology
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Hierarchical latent actions in HiMem-WAM boost long-horizon manipulation robustness, outperforming existing models in real-world scenarios.
Real-world robots forget how to fold towels after learning to pick-and-place, but this work shows experience replay can help, if you do it right.
