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About this paper
Fanxing Meng, Jing Xiao
The authors turn prerequisite sequences from infant motor-development scales into curricula for a simulated humanoid learning to stand and walk, using graphs to structure reward activation. AIMS, BSID, and GMFM succeed at all four passing scores, while PDMS fails to stand at 50% and 80%. At 50%, GMFM reaches 99% standing success and 1.33 m/s walking speed; results are simulation-only.
Summary by alphaXiv.
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