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INFIFORCE, Southern University of Science and Technology
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Hierarchical latent actions and a novel memory gating mechanism enable HiMem-WAM to excel in long-horizon robotic manipulation, outperforming traditional models in robustness and task performance.
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.
